Best AI tools for< Associate Director, Drug Delivery >

Wendy Labs is an AI application that provides on-call AI Therapist services for teams to support mental health and well-being in the workplace. The application offers 24/7 mental health support, personalized assistance, and measurable insights to empower employees and improve team retention. Wendy aims to eliminate stigma associated with seeking mental health support and offers a cost-effective and scalable solution for organizations to address mental health issues effectively.

Music Business Worldwide is a platform that provides news, interviews, analysis, and job opportunities for the global music industry. It covers a wide range of topics such as artist management, music production, songwriting, industry insights, and financial reports. The platform aims to keep music professionals informed about the latest trends and developments in the music business.

Gladly is an AI-powered Customer Service Platform that focuses on delivering exceptional customer experiences by centering on people rather than tickets. It offers a unified solution for customer communication across various channels, combining AI technology with human support to enhance efficiency, decrease costs, and drive revenue growth. Gladly stands out for its customer-centric approach, personalized self-service, and the ability to maintain a single lifelong conversation with customers. The platform is trusted by world-renowned brands and has proven success stories in improving customer interactions and agent productivity.

eBicycles.ai is your personal e-bike expert providing guidance on purchasing an e-bike and maintaining your favorite bike. The website offers valuable information on topics such as the best e-bikes for city commuting, e-bike battery maintenance, safety accessories, and the latest trends in e-bike technology.

MetaMuse is an AI-powered marketing tool that provides access to award-winning creative ideas and strategies without the high costs associated with traditional agencies. By analyzing over 20,500 successful campaigns and leveraging AI technology, MetaMuse democratizes creative expertise and offers lightning-fast turnaround for generating groundbreaking marketing concepts. Users can define their marketing challenges, connect with their target audience, and generate winning ideas with the help of an AI marketing expert, creative strategist, and creative team. MetaMuse aims to empower businesses to create unforgettable brand campaigns and drive real results.

Connected-Stories is the next generation of Creative Management Platforms powered by AI. It is a cloud-based platform that helps creative teams to manage their projects, collaborate with each other, and track their progress. Connected-Stories uses AI to automate many of the tasks that are typically associated with creative management, such as scheduling, budgeting, and resource allocation. This allows creative teams to focus on their work and be more productive.

GPT Builders is a platform offering customizable GPT models to create personalized AI tools for various tasks. The directory includes mini ChatGPTs trained for specific functions like customer service and market research. With multi-model agents, privacy controls, seamless integration, flexibility, memory, personalized communication, increased efficiency, and API access, businesses can enhance operations and decision-making. The application empowers users to navigate market trends, identify leads, and catalyze conversions, leading to improved efficiency, customer satisfaction, and growth.

KeysAI is an AI-powered sales associate that helps dealerships save money and convert web traffic into dealership traffic. It is trained on cutting-edge automotive sales techniques and has a knowledge center that knows everything about your dealership, your inventory, and your customer. KeysAI is available 24/7 and can handle thousands of prospective buyers at the same time, for a fraction of the cost of traditional BDCs. It converts web traffic into foot traffic at your dealership, which means you sell more cars. KeysAI drives more leads at lower costs than your current chat solution and increases your ROI.

Mako AI is an AI-powered associate designed to revolutionize the workflows of investment firms by streamlining research, analysis, and drafting processes. It offers essential tools to simplify data access, safeguard information, and provide actionable insights. With features like enterprise search, chat capabilities, and a knowledge base, Mako AI centralizes institutional knowledge and ensures data security with SOC 2 Type II certification. The application is easy to implement, prioritizes security, and enhances collaboration within firms.

ThankYouNote.app is an AI-powered tool that helps users write personalized and heartfelt thank-you notes for any occasion. It offers a range of templates and examples to choose from, making it easy to express gratitude in a thoughtful and meaningful way. The tool is designed to assist users in crafting custom thank-you notes that are perfect for any situation, whether it's for a gift, an act of kindness, or simply to show appreciation.

Just Walk Out technology is a checkout-free shopping experience that allows customers to enter a store, grab whatever they want, and quickly get back to their day, without having to wait in a checkout line or stop at a cashier. The technology uses camera vision and sensor fusion, or RFID technology which allows them to simply walk away with their items. Just Walk Out technology is designed to increase revenue with cost-optimized technology, maximize space productivity, increase throughput, optimize operational costs, and improve shopper loyalty.

Sensei AI is a real-time interview copilot application designed to provide assistance during live interviews. It offers instant answers to questions, personalized responses, and aims to help users land their dream job. The application uses advanced AI insights to understand the true intent behind interview questions, tailoring responses based on tone, word choices, keywords, timing, formality level, and context. Sensei AI also offers a hands-free experience, robust privacy features, and a personalized interview experience by tailoring answers to the user's job role, resume, and personal stories.

Caper is an AI-powered smart shopping cart technology that enhances the in-store shopping experience for retailers and customers. It provides seamless and personalized shopping, incremental consumer spend, and larger baskets during shops. Caper offers features like personalized advertising, integration with POS systems, and loyalty program utilization. The application aims to increase customer engagement, drive revenue, and optimize store operations through innovative technology and user-friendly interfaces.

Intuitivo is an AI/Computer Vision company building the future of retail, designing the perfect one-on-one shopping experience. We aim to create a connected, physical point of contact by meeting your client halfway; no lines, no friction. Our A-POPs facilitate seamless, cash-free purchases that naturally incorporate themselves into any customer’s routine. It’s simple, fully automated, and digitally intuitive.

Boutiq is an AI-powered video clienteling platform that helps Shopify stores provide a more personalized and engaging shopping experience for their customers. With Boutiq, customers can start or schedule a video chat with a sales associate anywhere on the Shopify store, allowing them to get personalized advice and assistance without leaving their home. This can lead to higher sales, increased customer satisfaction, and reduced returns.

Blozum is an advanced AI chat assistant application designed to enhance website conversions. It offers digital sales assistants that act as 24/7 sales force, engaging with platform visitors, providing instant answers, and guiding customers through purchase journeys. The application leverages AI to optimize interactions, personalize user experiences, and streamline the sales process. Blozum is suitable for various industries such as Ecommerce, Real Estate, Retail, Web3, Insurance, Banking, Edtech, Healthcare, and more.

Beacon Biosignals provides an EEG neurobiomarker platform that is designed to accelerate clinical trials and enable new treatments for patients with neurological and psychiatric diseases. Their platform is powered by machine learning and a world-class clinico-EEG database, which allows them to analyze existing EEG data for insights into mechanisms, PK/PD, and patient stratification. This information can be used to guide further development efforts, optimize clinical trials, and enhance understanding of treatment efficacy.

AiCure provides a patient-centric eClinical trial management platform that enhances drug development through improved medication adherence rates, more powerful analysis and prediction of treatment response using digital biomarkers, and reduced clinical tech burden. AiCure's solutions support traditional, decentralized, or hybrid trials and offer flexibility to meet the needs of various research designs.

Nara is an AI-powered digital sales associate that helps online stores increase sales and provide 24/7 support across all chat channels. It automates customer engagement by answering support questions, providing tailored shopping advice, and simplifying customer checkout. Nara offers different pricing plans to suit varying needs and provides a human touch experience similar to interacting with a helpful sales associate in physical stores.

Krisp is the world's #1 Noise Cancelling App and AI Meeting Assistant that offers AI Noise Cancellation to remove background noises, voices, and echoes from online meetings. It also provides AI Meeting Assistant features like transcribing, summarizing, and recording online meetings. Krisp caters to individuals, teams, call centers, and developers, offering a range of AI-powered solutions to enhance communication clarity and productivity.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

Superpipe is a lightweight framework designed for building, evaluating, and optimizing data transformation and data extraction pipelines using LLMs. It allows users to easily combine their favorite LLM libraries with Superpipe's building blocks to create pipelines tailored to their unique data and use cases. The tool facilitates rapid prototyping, evaluation, and optimization of end-to-end pipelines for tasks such as classification and evaluation of job departments based on work history. Superpipe also provides functionalities for evaluating pipeline performance, optimizing parameters for cost, accuracy, and speed, and conducting grid searches to experiment with different models and prompts.

Grounded 3D-LLM is a unified generative framework that utilizes referent tokens to reference 3D scenes, enabling the handling of sequences that interleave 3D and textual data. It transforms 3D vision tasks into language formats through task-specific prompts, curating grounded language datasets and employing Contrastive Language-Scene Pre-training (CLASP) to bridge the gap between 3D vision and language models. The model covers tasks like 3D visual question answering, dense captioning, object detection, and language grounding.

The AI Workshop repository provides a comprehensive guide to utilizing OpenAI's APIs, including Chat Completion, Embedding, and Assistant APIs. It offers hands-on demonstrations and code examples to help users understand the capabilities of these APIs. The workshop covers topics such as creating interactive chatbots, performing semantic search using text embeddings, and building custom assistants with specific data and context. Users can enhance their understanding of AI applications in education, research, and other domains through practical examples and usage notes.

The TensorRT-LLM Backend is a Triton backend designed to serve TensorRT-LLM models with Triton Inference Server. It supports features like inflight batching, paged attention, and more. Users can access the backend through pre-built Docker containers or build it using scripts provided in the repository. The backend can be used to create models for tasks like tokenizing, inferencing, de-tokenizing, ensemble modeling, and more. Users can interact with the backend using provided client scripts and query the server for metrics related to request handling, memory usage, KV cache blocks, and more. Testing for the backend can be done following the instructions in the 'ci/README.md' file.

org-ai is a minor mode for Emacs org-mode that provides access to generative AI models, including OpenAI API (ChatGPT, DALL-E, other text models) and Stable Diffusion. Users can use ChatGPT to generate text, have speech input and output interactions with AI, generate images and image variations using Stable Diffusion or DALL-E, and use various commands outside org-mode for prompting using selected text or multiple files. The tool supports syntax highlighting in AI blocks, auto-fill paragraphs on insertion, and offers block options for ChatGPT, DALL-E, and other text models. Users can also generate image variations, use global commands, and benefit from Noweb support for named source blocks.

Awesome Algorand is a curated list of resources related to the Algorand Blockchain, including official resources, wallets, blockchain explorers, portfolio trackers, learning resources, development tools, DeFi platforms, nodes & consensus participation, subscription management, security auditing services, blockchain bridges, oracles, name services, community resources, Algorand Request for Comments, metrics and analytics services, decentralized voting tools, and NFT marketplaces. The repository provides a comprehensive collection of tools, tutorials, protocols, and platforms for developers, users, and enthusiasts interested in the Algorand ecosystem.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

Godot LLM is a plugin that enables the utilization of large language models (LLM) for generating content in games. It provides functionality for text generation, text embedding, multimodal text generation, and vector database management within the Godot game engine. The plugin supports features like Retrieval Augmented Generation (RAG) and integrates llama.cpp-based functionalities for text generation, embedding, and multimodal capabilities. It offers support for various platforms and allows users to experiment with LLM models in their game development projects.

The vscode-pddl extension provides comprehensive support for Planning Domain Description Language (PDDL) in Visual Studio Code. It enables users to model planning domains, validate them, industrialize planning solutions, and run planners. The extension offers features like syntax highlighting, auto-completion, plan visualization, plan validation, plan happenings evaluation, search debugging, and integration with Planning.Domains. Users can create PDDL files, run planners, visualize plans, and debug search algorithms efficiently within VS Code.

OpenAI is a Swift community-maintained implementation over OpenAI public API. It is a non-profit artificial intelligence research organization founded in San Francisco, California in 2015. OpenAI's mission is to ensure safe and responsible use of AI for civic good, economic growth, and other public benefits. The repository provides functionalities for text completions, chats, image generation, audio processing, edits, embeddings, models, moderations, utilities, and Combine extensions.

OneKE is a flexible dockerized system for schema-guided knowledge extraction, capable of extracting information from the web and raw PDF books across multiple domains like science and news. It employs a collaborative multi-agent approach and includes a user-customizable knowledge base to enable tailored extraction. OneKE offers various IE tasks support, data sources support, LLMs support, extraction method support, and knowledge base configuration. Users can start with examples using YAML, Python, or Web UI, and perform tasks like Named Entity Recognition, Relation Extraction, Event Extraction, Triple Extraction, and Open Domain IE. The tool supports different source formats like Plain Text, HTML, PDF, Word, TXT, and JSON files. Users can choose from various extraction models like OpenAI, DeepSeek, LLaMA, Qwen, ChatGLM, MiniCPM, and OneKE for information extraction tasks. Extraction methods include Schema Agent, Extraction Agent, and Reflection Agent. The tool also provides support for schema repository and case repository management, along with solutions for network issues. Contributors to the project include Ningyu Zhang, Haofen Wang, Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, and Huajun Chen.

AgentScheduler is an Automatic/Vladmandic Stable Diffusion Web UI extension designed to enhance image generation workflows. It allows users to enqueue prompts, settings, and controlnets, manage queued tasks, prioritize, pause, resume, and delete tasks, view generation results, and more. The extension offers hidden features like queuing checkpoints, editing queued tasks, and custom checkpoint selection. Users can access the functionality through HTTP APIs and API callbacks. Troubleshooting steps are provided for common errors. The extension is compatible with latest versions of A1111 and Vladmandic. It is licensed under Apache License 2.0.

ViGenAiR is a tool that harnesses the power of Generative AI models on Google Cloud Platform to automatically transform long-form Video Ads into shorter variants, targeting different audiences. It generates video, image, and text assets for Demand Gen and YouTube video campaigns. Users can steer the model towards generating desired videos, conduct A/B testing, and benefit from various creative features. The tool offers benefits like diverse inventory, compelling video ads, creative excellence, user control, and performance insights. ViGenAiR works by analyzing video content, splitting it into coherent segments, and generating variants following Google's best practices for effective ads.

Large Language Models (LLM) are used to browse the Wolfram directory and associated URLs to create the category structure and good word embeddings. The goal is to generate enriched prompts for GPT, Wikipedia, Arxiv, Google Scholar, Stack Exchange, or Google search. The focus is on one subdirectory: Probability & Statistics. Documentation is in the project textbook `Projects4.pdf`, which is available in the folder. It is recommended to download the document and browse your local copy with Chrome, Edge, or other viewers. Unlike on GitHub, you will be able to click on all the links and follow the internal navigation features. Look for projects related to NLP and LLM / xLLM. The best starting point is project 7.2.2, which is the core project on this topic, with references to all satellite projects. The project textbook (with solutions to all projects) is the core document needed to participate in the free course (deep tech dive) called **GenAI Fellowship**. For details about the fellowship, follow the link provided. An uncompressed version of `crawl_final_stats.txt.gz` is available on Google drive, which contains all the crawled data needed as input to the Python scripts in the XLLM5 and XLLM6 folders.

Laragenie is an AI chatbot designed to understand and assist developers with their codebases. It runs on the command line from a Laravel app, helping developers onboard to new projects, understand codebases, and provide daily support. Laragenie accelerates workflow and collaboration by indexing files and directories, allowing users to ask questions and receive AI-generated responses. It supports OpenAI and Pinecone for processing and indexing data, making it a versatile tool for any repo in any language.

This Helm chart bootstraps an Airflow deployment on a Kubernetes cluster using the Helm package manager. The version of this chart does not correlate to any other component. Users should not expect feature parity between OSS airflow chart and the Astronomer airflow-chart for identical version numbers. To install this helm chart remotely (using helm 3) kubectl create namespace airflow helm repo add astronomer https://helm.astronomer.io helm install airflow --namespace airflow astronomer/airflow To install this repository from source sh kubectl create namespace airflow helm install --namespace airflow . Prerequisites: Kubernetes 1.12+ Helm 3.6+ PV provisioner support in the underlying infrastructure Installing the Chart: sh helm install --name my-release . The command deploys Airflow on the Kubernetes cluster in the default configuration. The Parameters section lists the parameters that can be configured during installation. Upgrading the Chart: First, look at the updating documentation to identify any backwards-incompatible changes. To upgrade the chart with the release name `my-release`: sh helm upgrade --name my-release . Uninstalling the Chart: To uninstall/delete the `my-release` deployment: sh helm delete my-release The command removes all the Kubernetes components associated with the chart and deletes the release. Updating DAGs: Bake DAGs in Docker image The recommended way to update your DAGs with this chart is to build a new docker image with the latest code (`docker build -t my-company/airflow:8a0da78 .`), push it to an accessible registry (`docker push my-company/airflow:8a0da78`), then update the Airflow pods with that image: sh helm upgrade my-release . --set images.airflow.repository=my-company/airflow --set images.airflow.tag=8a0da78 Docker Images: The Airflow image that are referenced as the default values in this chart are generated from this repository: https://github.com/astronomer/ap-airflow. Other non-airflow images used in this chart are generated from this repository: https://github.com/astronomer/ap-vendor. Parameters: The complete list of parameters supported by the community chart can be found on the Parameteres Reference page, and can be set under the `airflow` key in this chart. The following tables lists the configurable parameters of the Astronomer chart and their default values. | Parameter | Description | Default | | :----------------------------- | :-------------------------------------------------------------------------------------------------------- | :---------------------------- | | `ingress.enabled` | Enable Kubernetes Ingress support | `false` | | `ingress.acme` | Add acme annotations to Ingress object | `false` | | `ingress.tlsSecretName` | Name of secret that contains a TLS secret | `~` | | `ingress.webserverAnnotations` | Annotations added to Webserver Ingress object | `{}` | | `ingress.flowerAnnotations` | Annotations added to Flower Ingress object | `{}` | | `ingress.baseDomain` | Base domain for VHOSTs | `~` | | `ingress.auth.enabled` | Enable auth with Astronomer Platform | `true` | | `extraObjects` | Extra K8s Objects to deploy (these are passed through `tpl`). More about Extra Objects. | `[]` | | `sccEnabled` | Enable security context constraints required for OpenShift | `false` | | `authSidecar.enabled` | Enable authSidecar | `false` | | `authSidecar.repository` | The image for the auth sidecar proxy | `nginxinc/nginx-unprivileged` | | `authSidecar.tag` | The image tag for the auth sidecar proxy | `stable` | | `authSidecar.pullPolicy` | The K8s pullPolicy for the the auth sidecar proxy image | `IfNotPresent` | | `authSidecar.port` | The port the auth sidecar exposes | `8084` | | `gitSyncRelay.enabled` | Enables git sync relay feature. | `False` | | `gitSyncRelay.repo.url` | Upstream URL to the git repo to clone. | `~` | | `gitSyncRelay.repo.branch` | Branch of the upstream git repo to checkout. | `main` | | `gitSyncRelay.repo.depth` | How many revisions to check out. Leave as default `1` except in dev where history is needed. | `1` | | `gitSyncRelay.repo.wait` | Seconds to wait before pulling from the upstream remote. | `60` | | `gitSyncRelay.repo.subPath` | Path to the dags directory within the git repository. | `~` | Specify each parameter using the `--set key=value[,key=value]` argument to `helm install`. For example, sh helm install --name my-release --set executor=CeleryExecutor --set enablePodLaunching=false . Walkthrough using kind: Install kind, and create a cluster We recommend testing with Kubernetes 1.25+, example: sh kind create cluster --image kindest/node:v1.25.11 Confirm it's up: sh kubectl cluster-info --context kind-kind Add Astronomer's Helm repo sh helm repo add astronomer https://helm.astronomer.io helm repo update Create namespace + install the chart sh kubectl create namespace airflow helm install airflow -n airflow astronomer/airflow It may take a few minutes. Confirm the pods are up: sh kubectl get pods --all-namespaces helm list -n airflow Run `kubectl port-forward svc/airflow-webserver 8080:8080 -n airflow` to port-forward the Airflow UI to http://localhost:8080/ to confirm Airflow is working. Login as _admin_ and password _admin_. Build a Docker image from your DAGs: 1. Start a project using astro-cli, which will generate a Dockerfile, and load your DAGs in. You can test locally before pushing to kind with `astro airflow start`. `sh mkdir my-airflow-project && cd my-airflow-project astro dev init` 2. Then build the image: `sh docker build -t my-dags:0.0.1 .` 3. Load the image into kind: `sh kind load docker-image my-dags:0.0.1` 4. Upgrade Helm deployment: sh helm upgrade airflow -n airflow --set images.airflow.repository=my-dags --set images.airflow.tag=0.0.1 astronomer/airflow Extra Objects: This chart can deploy extra Kubernetes objects (assuming the role used by Helm can manage them). For Astronomer Cloud and Enterprise, the role permissions can be found in the Commander role. yaml extraObjects: - apiVersion: batch/v1beta1 kind: CronJob metadata: name: "{{ .Release.Name }}-somejob" spec: schedule: "*/10 * * * *" concurrencyPolicy: Forbid jobTemplate: spec: template: spec: containers: - name: myjob image: ubuntu command: - echo args: - hello restartPolicy: OnFailure Contributing: Check out our contributing guide! License: Apache 2.0 with Commons Clause

Helps users find stores and businesses with practical, location-based advice.

A gpt assistant that helps with analyzing a startup/market. The answers you get back is already structured to give you the core elements you would want to see in an investment memo/ market analysis

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