Best AI tools for< Call Functions With Ai Models >

Razzle is a messaging tool designed to help you stay focused and get more done. It is minimal and distraction-free, with a focus mode that is on by default. Razzle also has a quick and easy search function from your command bar, and it comes with 2 embedded AI models that can help you with writing marketing copy or data extraction. Razzle also has first party support for Zoom and Google Meets, so you can easily call your colleagues with one click.

Razzle is a messaging tool designed to help you stay focused and get more done. It is minimal and distraction-free, with a focus mode that is on by default. Razzle also has a quick and easy search function from your command bar, and it comes with 2 embedded AI models that can help you with writing marketing copy or data extraction. Razzle also has first party support for Zoom and Google Meets, so you can easily call your colleagues with one click.

Martin is a personal AI assistant application that functions as a virtual assistant similar to Jarvis. It helps users manage their to-do lists, calendars, emails, and more by keeping everything in its working memory. Martin can perform tasks like sending messages, setting reminders, managing tasks, and syncing with various tools and platforms. Users can access Martin through voice mode, notifications, and shortcuts, making it a convenient and efficient tool for organizing daily tasks and improving productivity.

Vilosia is an AI-powered platform that helps medium and large enterprises with internal development teams to visualize their software architecture, simplify migration, and improve system modularity. The platform uses Gen AI to automatically add event triggers to the codebase, enabling users to understand data flow, system dependencies, domain boundaries, and external APIs. Vilosia also offers AI workflow analysis to extract workflows from function call chains and identify database usage. Users can scan their codebase using CLI client & CI/CD integration and stay updated with new features through the newsletter.

Infinity Call Analytics Software is a cloud-based solution that helps businesses track, analyze, and improve their phone calls. It provides a variety of features, including call tracking, conversation analytics, and smart match. Infinity Call Analytics Software is designed to help businesses make more informed decisions about their marketing and sales efforts, and to improve the customer experience.

A Call Recorder App is a mobile application that allows users to record phone calls on iPhone and Android devices with the best possible quality at a fair price. The app uses IVR technology to record conversations in the cloud and employs ML/AI engine for transcribing audio files into readable text documents. It supports English, Spanish, and French languages for transcription and offers simple pricing without hidden fees. Users can record incoming/outgoing calls, conference calls, and share recordings easily.

Had-a Call is an AI-powered call management platform that revolutionizes customer outreach by breaking down language barriers and building stronger relationships with customers worldwide. It offers multi-language call center software, real-time call performance analytics, and scalable solutions for data-driven customer engagement. With Had-a Call, businesses can effortlessly scale their call center operations and make data-driven decisions to drive customer engagement and improve performance.

The AI Therapy Call is an AI-driven mental health solution that offers accessible and affordable therapy services merged with life coaching. It provides immediate support through AI-driven empathy, personalized responses, and tailored guidance to improve mental well-being. The service is available 24/7, rooted in cutting-edge technology, and ensures privacy and confidentiality for users. Users can expect transformative experiences and continuous growth in their mental wellness journey.

Vivid is a tool that syncs Figma designs with your codebase by generating and updating UI code. It allows users to submit designs directly in Figma, make edits to generated divs, and sync changes with design updates. Vivid isolates design styles, making it easier for developers to focus on functionality. The tool minimizes style clutter and provides auto-updating code that tracks changes in Figma.

Attention is an AI-powered platform that transforms call recordings into valuable insights and actions for sales teams. It offers features such as generating follow-up emails, updating Salesforce, alerting stakeholders of churn risk, creating coaching scorecards, and more. The platform helps sales teams analyze calls, identify coaching priorities, onboard new team members quickly, align sales messaging, and automate follow-up emails with AI. Attention aims to revolutionize sales workflows by providing real-time actionable intelligence and enhancing productivity.

Babylon Health is a digital healthcare company that provides 24/7 access to virtual doctors, as well as a range of other healthcare services. The company's mission is to make healthcare more accessible, affordable, and convenient for everyone.

interface.ai is an AI platform that offers generative AI solutions and intelligent virtual assistant services tailored for banks and credit unions. The platform aims to optimize call center operations, automate processes, enhance customer and employee experience, and increase revenue for financial institutions. With a focus on conversational AI, voice-based biometrics, and caller-id authentication, interface.ai provides advanced solutions to improve operational efficiency and deliver personalized recommendations to prospects and customers. The platform is designed to handle call volumes, reduce wait times, and provide 24/7 member support, ultimately transforming call centers into revenue centers.

OpenCall.ai is an AI call center application that offers businesses a customized AI solution to handle calls, appointments, and customer inquiries. It streamlines operations, improves customer satisfaction, and increases revenue by eliminating wait times and providing a personalized experience. The AI is tailored to fit different industries like medical, beauty, real estate, and more, ensuring seamless integration with existing processes. OpenCall.ai is easy to deploy, powerful in customization, private in data handling, and reliable in solving common communication challenges.

Pitch Patterns is an AI-powered Quality Control platform designed for teams analyzing sales and customer service calls to enhance close rates and CSAT scores. The platform offers innovative features such as Social Skill Markers, Conversation Analysis, and AI Tracking to provide valuable insights and improve agent performance. With integration capabilities with popular CRM systems like Salesforce and Pipedrive, Pitch Patterns aims to revolutionize call center excellence through AI analytics.

ConvoLinx is an AI-powered virtual receptionist that optimizes call handling, resolves inquiries, and drives cost-effective customer support. It offers features such as customizable interactions, continuous availability, call forwarding, appointment scheduling, and custom call flows. ConvoLinx seamlessly integrates into business processes, allowing for the collection of specific customer information and the provision of tailored solutions. Its unique customer call flows can be customized for any interaction, creating personalized call handlers to improve customer experience and drive satisfaction.

CallBud is an AI tool designed to assist users in making appointment calls. It serves as a virtual assistant that can handle the task of scheduling appointments over the phone. With CallBud, users can save time and effort by automating the process of making calls and managing their appointments efficiently. The tool is user-friendly and provides a convenient solution for individuals who need assistance with their call-related tasks.

Parity is the world's first AI SRE tool designed to assist on-call engineers working with Kubernetes. It acts as the first line of defense by conducting investigations, determining root causes, and suggesting remediation before the engineer even opens their laptop. With features like Root Cause Analysis in Seconds, Intelligent Runbook Execution, and the ability to chat directly with the cluster, Parity streamlines incident response and enhances operational efficiency.

Rosie is an AI answering service designed for home services and small businesses. It offers a cost-effective solution to handle business calls, ensuring that no call goes unanswered. Rosie uses advanced AI technology to answer calls, take messages, and notify users promptly. With features like custom message taking, call recordings, and easy setup process, Rosie helps businesses manage their incoming calls efficiently and professionally.

Simple Phones is an AI-powered virtual phone system that allows businesses to never miss a call from customers. The application uses AI agents to answer inbound and outbound calls, log call details, offer affordable pricing plans, provide customization options, and support multiple languages and accents. Users can create their own AI agent in just 60 seconds and customize it for various use cases, such as booking appointments, answering FAQs, and routing calls to different team members. Simple Phones aims to enhance customer communication and streamline call handling processes for businesses of all sizes.

Thalla is an AI-powered reminder application that helps users set up personalized reminders with the assistance of artificial intelligence. Users can create one-time or recurring reminders for various tasks, habits, follow-ups, and meetings. The application allows customization of reminders with notes or specific instructions, and it provides smart suggestions based on user behavior. Thalla also offers the feature of scheduling call reminders for teammates or collaborators, making it a versatile tool for enhancing productivity and organization. With a minimalistic design and instant updates, Thalla aims to simplify the reminder process and improve efficiency for its users.

Langrila is a library that provides an easy way to use API-based LLM (Large Language Models) with an emphasis on simple architecture for readability. It supports various AI models for chat and embedding tasks, as well as retrieval functionalities using Qdrant, Chroma, and Usearch. Langrila also includes modules for function calling, conversation memory management, and prompt templates. It enforces coding policies for simplicity, responsibility independence, and minimum module implementation. The library requires Python version 3.10 to 3.13 and additional dependencies like OpenAI, Gemini, Qdrant, Chroma, and Usearch for specific functionalities.

Cortex is a tool that simplifies and accelerates the process of creating applications utilizing modern AI models like chatGPT and GPT-4. It provides a structured interface (GraphQL or REST) to a prompt execution environment, enabling complex augmented prompting and abstracting away model connection complexities like input chunking, rate limiting, output formatting, caching, and error handling. Cortex offers a solution to challenges faced when using AI models, providing a simple package for interacting with NL AI models.

Simplemind is an AI library designed to simplify the experience with AI APIs in Python. It provides easy-to-use AI tools with a human-centered design and minimal configuration. Users can tap into powerful AI capabilities through simple interfaces, without needing to be experts. The library supports various APIs from different providers/models and offers features like text completion, streaming text, structured data handling, conversational AI, tool calling, and logging. Simplemind aims to make AI models accessible to all by abstracting away complexity and prioritizing readability and usability.

The 'llm' package for Emacs provides an interface for interacting with Large Language Models (LLMs). It abstracts functionality to a higher level, concealing API variations and ensuring compatibility with various LLMs. Users can set up providers like OpenAI, Gemini, Vertex, Claude, Ollama, GPT4All, and a fake client for testing. The package allows for chat interactions, embeddings, token counting, and function calling. It also offers advanced prompt creation and logging capabilities. Users can handle conversations, create prompts with placeholders, and contribute by creating providers.

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

Gemini AI is a Ruby Gem designed to provide low-level access to Google's generative AI services through Vertex AI, Generative Language API, or AI Studio. It allows users to interact with Gemini to build abstractions on top of it. The Gem provides functionalities for tasks such as generating content, embeddings, predictions, and more. It supports streaming capabilities, server-sent events, safety settings, system instructions, JSON format responses, and tools (functions) calling. The Gem also includes error handling, development setup, publishing to RubyGems, updating the README, and references to resources for further learning.

pgai simplifies the process of building search and Retrieval Augmented Generation (RAG) AI applications with PostgreSQL. It brings embedding and generation AI models closer to the database, allowing users to create embeddings, retrieve LLM chat completions, reason over data for classification, summarization, and data enrichment directly from within PostgreSQL in a SQL query. The tool requires an OpenAI API key and a PostgreSQL client to enable AI functionality in the database. Users can install pgai from source, run it in a pre-built Docker container, or enable it in a Timescale Cloud service. The tool provides functions to handle API keys using psql or Python, and offers various AI functionalities like tokenizing, detokenizing, embedding, chat completion, and content moderation.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

Extension | OS is an open-source browser extension that brings AI directly to users' web browsers, allowing them to access powerful models like LLMs seamlessly. Users can create prompts, fix grammar, and access intelligent assistance without switching tabs. The extension aims to revolutionize online information interaction by integrating AI into everyday browsing experiences. It offers features like Prompt Factory for tailored prompts, seamless LLM model access, secure API key storage, and a Mixture of Agents feature. The extension was developed to empower users to unleash their creativity with custom prompts and enhance their browsing experience with intelligent assistance.

This repository showcases how to deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK. Generative AI is a type of AI that can create new content and ideas, such as conversations, stories, images, videos, and music. The repository provides a detailed guide on deploying image and text generative AI models, utilizing pre-trained models from SageMaker JumpStart. The web application is built on Streamlit and hosted on Amazon ECS with Fargate. It interacts with the SageMaker model endpoints through Lambda functions and Amazon API Gateway. The repository also includes instructions on setting up the AWS CDK application, deploying the stacks, using the models, and viewing the deployed resources on the AWS Management Console.

Delphi OpenAI API is an unofficial library providing Delphi implementation over OpenAI public API. It allows users to access various models, make completions, chat conversations, generate images, and call functions using OpenAI service. The library aims to facilitate tasks such as content generation, semantic search, and classification through AI models. Users can fine-tune models, work with natural language processing, and apply reinforcement learning methods for diverse applications.

vim-ai is a plugin that adds Artificial Intelligence (AI) capabilities to Vim and Neovim. It allows users to generate code, edit text, and have interactive conversations with GPT models powered by OpenAI's API. The plugin uses OpenAI's API to generate responses, requiring users to set up an account and obtain an API key. It supports various commands for text generation, editing, and chat interactions, providing a seamless integration of AI features into the Vim text editor environment.

LLM Tornado is a .NET library designed to simplify the consumption of various large language models (LLMs) from providers like OpenAI, Anthropic, Cohere, Google, Azure, Groq, and self-hosted APIs. It acts as an aggregator, allowing users to easily switch between different LLM providers with just a change in argument. Users can perform tasks such as chatting with documents, voice calling with AI, orchestrating assistants, generating images, and more. The library exposes capabilities through vendor extensions, making it easy to integrate and use multiple LLM providers simultaneously.

Azure Functions OpenAI Extension is a project that adds support for OpenAI LLM (GPT-3.5-turbo, GPT-4) bindings in Azure Functions. It provides NuGet packages for various functionalities like text completions, chat completions, assistants, embeddings generators, and semantic search. The project requires .NET 6 SDK or greater, Azure Functions Core Tools v4.x, and specific settings in Azure Function or local settings for development. It offers features like text completions, chat completion, assistants with custom skills, embeddings generators for text relatedness, and semantic search using vector databases. The project also includes examples in C# and Python for different functionalities.

Easily integrate Large Language Models into your Python code. Simply use the `@prompt` and `@chatprompt` decorators to create functions that return structured output from the LLM. Mix LLM queries and function calling with regular Python code to create complex logic.

QuantaLogic is a ReAct framework for building advanced AI agents that seamlessly integrates large language models with a robust tool system. It aims to bridge the gap between advanced AI models and practical implementation in business processes by enabling agents to understand, reason about, and execute complex tasks through natural language interaction. The framework includes features such as ReAct Framework, Universal LLM Support, Secure Tool System, Real-time Monitoring, Memory Management, and Enterprise Ready components.

A curated list of Generative AI projects, tools, artworks, and models

Agently is a development framework that helps developers build AI agent native application really fast. You can use and build AI agent in your code in an extremely simple way. You can create an AI agent instance then interact with it like calling a function in very few codes like this below. Click the run button below and witness the magic. It's just that simple: python # Import and Init Settings import Agently agent = Agently.create_agent() agent\ .set_settings("current_model", "OpenAI")\ .set_settings("model.OpenAI.auth", {"api_key": ""}) # Interact with the agent instance like calling a function result = agent\ .input("Give me 3 words")\ .output([("String", "one word")])\ .start() print(result) ['apple', 'banana', 'carrot'] And you may notice that when we print the value of `result`, the value is a `list` just like the format of parameter we put into the `.output()`. In Agently framework we've done a lot of work like this to make it easier for application developers to integrate Agent instances into their business code. This will allow application developers to focus on how to build their business logic instead of figure out how to cater to language models or how to keep models satisfied.

Defines and explains function calls based on a knowledge source.

Assist the use of function calls

Actor of 'Blackadder' characters with script knowledge.

Asistente experto en derecho laboral mexicano, ofrece asesoría legal en español.

Expert on Better Call Saul, discusses episodes, characters, and trivia.

Tell me your company and customer and I'll prepare your first call with them!

Analyzes participants from page 1 of Zoom .pdfs

CoD gaming scene specialist for Call of Duty

Je réponds à toutes vos questions sur le jeu Call of Dungeons.

Call me Data- I draw historical parallels to your queries // An education tool // "Nothing new under the sun"

Experto en Call of Duty, ofreciendo estrategias y consejos de juego.

Explore call detail records (CDR) for a variety of PBX platforms including Avaya, Mitel, NEC, and others with this UC trained GPT. Use specific commands to help you expertly navigate and troubleshoot CDR from diverse UC environments.

Your personal GM for 'Call of Cthulhu'

I generate themed video call backgrounds with a central focus.

I'm an always-on-call cloud expert, specializing in solving GCP problems.

Chat with Joshua Lisec's 'So Good They Call You a Fake,' the instant #1 international bestseller.

Your go-to guy for tenancy law. Got a landlord or tenant issue? Better Call Saul

Every been curious about the furry fandom or furries in general? I'm here to help you make an original fursona to call your own! I'll guide you through the process and help you make something original and special.

Replicate Image, Images Mergeve, Imaginative Edit, Style Transfer. Use "Help" for more info. 20+ features of the source image will be transferred. You also can call this GPT via @ in any chat (desktop only).

A formal, businesslike virtual COO, using business jargon in expert advice.