Best AI tools for< Accelerate Generation >

Criya AI is an Intelligent Content System that helps boost buyer engagement by providing AI-powered tools such as Content Builder, Slide Generator, Visual Design, and more. It offers features like Company knowledge management, Engagement Analytics, Secure Sharing, and Team Collaboration. Criya AI caters to various use cases like Account Based Prospecting, Lead Capture, and Deal Execution, benefiting roles such as BDR/SDR, Account Executive, and Sales Trainer. The application is designed to accelerate revenue generation by producing client-ready assets quickly and efficiently.

BenevolentAI is a leader in applying advanced AI to accelerate biopharma drug discovery blending science and technology with a focus on finding solutions for complex diseases. We empower both biopharmaceutical companies and our internal scientists to harness the full potential of data and AI to accelerate the next generation of scientific advances. We have built our AI-enabled drug discovery engine to drive a revolution in drug discovery. The Benevolent Platform™ unlocks the power of a vast biomedical data landscape to provide a multidimensional representation of human biology across all diseases. We believe this approach will improve the probability of clinical success, and help us deliver life-changing treatments to patients – because it matters.

Novita AI is an AI cloud platform that offers Model APIs, Serverless, and GPU Instance solutions integrated into one cost-effective platform. It provides tools for building AI products, scaling with serverless architecture, and deploying with GPU instances. Novita AI caters to startups and businesses looking to leverage AI technologies without the need for extensive machine learning expertise. The platform also offers a Startup Program, 24/7 service support, and has received positive feedback for its reasonable pricing and stable API services.

syntheticAIdata is a platform that provides synthetic data for training vision AI models. Synthetic data is generated artificially, and it can be used to augment existing real-world datasets or to create new datasets from scratch. syntheticAIdata's platform is easy to use, and it can be integrated with leading cloud platforms. The company's mission is to make synthetic data accessible to everyone, and to help businesses overcome the challenges of acquiring high-quality data for training their vision AI models.

Yseop offers Natural Language Generation (NLG) services that automate and translate data into actionable language, simplifying complex workflows. Its AI-based technologies generate core elements of specialist medical reports, including clinical study reports (CSR), patient narratives, and more. Yseop also automates the writing of financial reports, removing the risk of error in manual writing to ensure accuracy, consistency, and compliance. Additionally, Yseop provides bespoke NLG applications tailored to specific needs, helping streamline operations and empower workers with tailored information and insights.

LeadSend is an AI-powered lead generation solution that helps businesses accelerate sales by providing consistent leads at an affordable price of $499/month. The platform disrupts the lead generation industry by offering simple, predictable, and scalable solutions without the need for Facebook ads, PPC, or telemarketing. LeadSend utilizes personalized emails to target ideal customers at the right time, ensuring quick results and high lead flow. The platform also offers custom CRM, accountability, flexibility, data-driven analytics, and transparent communication to optimize lead generation efforts for various B2B businesses.

Novita AI is an AI cloud platform offering Model APIs, Serverless, and GPU Instance services in a cost-effective and integrated manner to accelerate AI businesses. It provides optimized models for high-quality dialogue use cases, full spectrum AI APIs for image, video, audio, and LLM applications, serverless auto-scaling based on demand, and customizable GPU solutions for complex AI tasks. The platform also includes a Startup Program, 24/7 service support, and has received positive feedback for its reasonable pricing and stable services.

iSmart Communications is an AI-powered lead generation agency based in Singapore and Asia. They specialize in leveraging artificial intelligence to revolutionize lead generation strategies for businesses, offering a comprehensive range of AI-powered services such as Inbound Marketing, Account-Based Marketing, Email Marketing, Social Media Marketing, SEO/SEM, and Ecommerce Advertising. The agency focuses on tailoring lead generation strategies to fit the specific characteristics of each Asian market for maximum efficiency, helping businesses accelerate growth and drive remarkable results.

SubSync is the #1 CRM for Home Services that leverages AI technology to help home service businesses accelerate their revenue by generating, engaging, and converting new leads. It offers a comprehensive all-in-one platform for lead prospecting, marketing automation, and sales management. SubSync's innovative features streamline the process of finding and connecting with potential customers, empowering sales teams to focus on quality interactions. With SubSync, users can automate time-consuming workflows, track campaign performance, and optimize their sales funnel, ultimately leading to increased efficiency and higher ROI.

Emoti is an intelligent platform that helps businesses improve their conversion rate performance, gain real analytics insights, increase lead generation, and accelerate conversions. It simplifies the process of identifying areas of improvement in digital performance by providing relevant data, fast insights, and actionable guidance. Emoti creates digital personas to help businesses understand their customers better and optimize user journeys. Powered by AI, Emoti offers actionable recommendations for improving digital business, with human experts available for assistance.

VoxCraft is a free 3D AI generator that allows users to create realistic 3D models using artificial intelligence technology. With VoxCraft, users can easily generate detailed 3D models without the need for advanced design skills or software. The application leverages AI algorithms to streamline the modeling process and produce high-quality results. Whether you are a beginner or an experienced designer, VoxCraft offers a user-friendly platform to bring your creative ideas to life in the world of 3D modeling.

LeadShark is an AI-powered B2B sales automation tool that helps businesses automate lead generation processes. By using a Browser Extension powered by AI, LeadShark enables users to sit back and watch high-quality leads roll into their sales funnel. The tool offers features such as automated lead generation, opportunity dashboard for sales metrics, integrations with favorite browsers, and a Go-to-Market Strategy Template for enhancing marketing strategies. LeadShark aims to address the continuous need for finding high-quality leads in outbound sales by providing automated lead generation solutions based on the user's Ideal Customer Profile criteria.

Tonic.ai is a platform that allows users to build AI models on their unstructured data. It offers various products for software development and LLM development, including tools for de-identifying and subsetting structured data, scaling down data, handling semi-structured data, and managing ephemeral data environments. Tonic.ai focuses on standardizing, enriching, and protecting unstructured data, as well as validating RAG systems. The platform also provides integrations with relational databases, data lakes, NoSQL databases, flat files, and SaaS applications, ensuring secure data transformation for software and AI developers.

AI Prompt Generator is a powerful tool that helps you create high-quality AI prompts. With our tool, you can easily generate prompts for a variety of AI models, including GPT-3, ChatGPT, and DALL-E 2. Our tool is easy to use and provides a variety of features to help you create the perfect prompt.

Mindsmith is a next-generation eLearning authoring tool that leverages generative AI to streamline and expedite the creation and sharing of learning content. It empowers users to collaborate seamlessly, customize content to align with organizational needs, and seamlessly integrate with existing LMS platforms. Mindsmith's intuitive interface and AI-driven capabilities make it an invaluable asset for eLearning professionals seeking to enhance their productivity and deliver engaging learning experiences.

Tabnine is an AI code assistant that accelerates and simplifies software development while keeping your code private, secure, and compliant. It offers industry-leading AI code assistance, personalized to fit your team's needs, ensuring total code privacy, and providing complete protection from intellectual property issues. Tabnine's AI agents cover various aspects of the software development lifecycle, from code generation and explanations to testing, documentation, and bug fixes.

Attain is the world's first generative AI-powered CRM designed for startups, offering superpowers to accelerate sales processes. It features a flexible, tabular CRM interface that is simple, powerful, and highly customizable. The AI-enhanced lead generation capabilities allow users to prospect from a real-time database of nearly 1 billion contacts. Attain also includes a Smart AI Meeting Assistant that records calls, updates CRM, takes notes, and more. With AttainGPT™, users can generate analytics, recaps, and more by simply asking in plain English. This modern CRM is built to support the needs of today's sales motion, backed by Y Combinator & Khosla Ventures.

GenForge is an AI-powered tool that helps you understand and summarize documents quickly and easily. With GenForge, you can: - Get a summary of any document in seconds - Ask deep-dive questions about the details of a document - Get AI support and image generation on-the-go GenForge is the perfect tool for anyone who wants to save time and improve their productivity.

Daloopa is an AI financial modeling tool designed to automate fundamental data updates for financial analysts working in Excel. It helps analysts build and update financial models efficiently by eliminating manual work and providing accurate, auditable data points sourced from thousands of companies. Daloopa leverages AI technology to deliver complete and comprehensive data sets faster than humanly possible, enabling analysts to focus on analysis, insight generation, and idea development to drive better investment decisions.

TextSmith.ai is an AI-powered SEO article and keyword generation tool designed to help users effortlessly create SEO-optimized content for their websites. With advanced AI capabilities, TextSmith.ai maximizes productivity by handling the heavy lifting of SEO tasks, such as keyword research and content creation. Users can generate keyword-rich articles quickly, outpacing competitors and climbing search rankings. The tool also offers seamless integration with WordPress, allowing users to publish high-quality content directly to their websites. TextSmith.ai stands out in the SEO tool market by providing tailored, data-driven insights and automated content generation, making it a must-have for businesses serious about SEO.

TriForce is a training-free tool designed to accelerate long sequence generation. It supports long-context Llama models and offers both on-chip and offloading capabilities. Users can achieve a 2.2x speedup on a single A100 GPU. TriForce also provides options for offloading with tensor parallelism or without it, catering to different hardware configurations. The tool includes a baseline for comparison and is optimized for performance on RTX 4090 GPUs. Users can cite the associated paper if they find TriForce useful for their projects.

This repository, Online RLHF, focuses on aligning large language models (LLMs) through online iterative Reinforcement Learning from Human Feedback (RLHF). It aims to bridge the gap in existing open-source RLHF projects by providing a detailed recipe for online iterative RLHF. The workflow presented here has shown to outperform offline counterparts in recent LLM literature, achieving comparable or better results than LLaMA3-8B-instruct using only open-source data. The repository includes model releases for SFT, Reward model, and RLHF model, along with installation instructions for both inference and training environments. Users can follow step-by-step guidance for supervised fine-tuning, reward modeling, data generation, data annotation, and training, ultimately enabling iterative training to run automatically.

DemoGPT is an all-in-one agent library that provides tools, prompts, frameworks, and LLM models for streamlined agent development. It leverages GPT-3.5-turbo to generate LangChain code, creating interactive Streamlit applications. The tool is designed for creating intelligent, interactive, and inclusive solutions in LLM-based application development. It offers model flexibility, iterative development, and a commitment to user engagement. Future enhancements include integrating Gorilla for autonomous API usage and adding a publicly available database for refining the generation process.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

The Next-Generation LLM-based Recommender Systems Survey is a comprehensive overview of the latest advancements in recommender systems leveraging Large Language Models (LLMs). The survey covers various paradigms, approaches, and applications of LLMs in recommendation tasks, including generative and non-generative models, multimodal recommendations, personalized explanations, and industrial deployment. It discusses the comparison with existing surveys, different paradigms, and specific works in the field. The survey also addresses challenges and future directions in the domain of LLM-based recommender systems.

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

This repository is a curated collection of powerful AI tools that accelerate and enhance game development. It provides tools for asset, texture, image, code generation, animation video mocap, voice generation, speech recognition, conversational models, game design, search engine, AI NPC, Python libraries, and C# libraries. These tools streamline the creation process, save time, automate tasks, and unlock creative possibilities for game developers, whether indie or part of a studio. The repository aims to speed up development and enable the creation of immersive games by leveraging cutting-edge AI technologies.

BigCodeBench is an easy-to-use benchmark for code generation with practical and challenging programming tasks. It aims to evaluate the true programming capabilities of large language models (LLMs) in a more realistic setting. The benchmark is designed for HumanEval-like function-level code generation tasks, but with much more complex instructions and diverse function calls. BigCodeBench focuses on the evaluation of LLM4Code with diverse function calls and complex instructions, providing precise evaluation & ranking and pre-generated samples to accelerate code intelligence research. It inherits the design of the EvalPlus framework but differs in terms of execution environment and test evaluation.

Intel® Extension for Transformers is an innovative toolkit designed to accelerate GenAI/LLM everywhere with the optimal performance of Transformer-based models on various Intel platforms, including Intel Gaudi2, Intel CPU, and Intel GPU. The toolkit provides the below key features and examples: * Seamless user experience of model compressions on Transformer-based models by extending [Hugging Face transformers](https://github.com/huggingface/transformers) APIs and leveraging [Intel® Neural Compressor](https://github.com/intel/neural-compressor) * Advanced software optimizations and unique compression-aware runtime (released with NeurIPS 2022's paper [Fast Distilbert on CPUs](https://arxiv.org/abs/2211.07715) and [QuaLA-MiniLM: a Quantized Length Adaptive MiniLM](https://arxiv.org/abs/2210.17114), and NeurIPS 2021's paper [Prune Once for All: Sparse Pre-Trained Language Models](https://arxiv.org/abs/2111.05754)) * Optimized Transformer-based model packages such as [Stable Diffusion](examples/huggingface/pytorch/text-to-image/deployment/stable_diffusion), [GPT-J-6B](examples/huggingface/pytorch/text-generation/deployment), [GPT-NEOX](examples/huggingface/pytorch/language-modeling/quantization#2-validated-model-list), [BLOOM-176B](examples/huggingface/pytorch/language-modeling/inference#BLOOM-176B), [T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), [Flan-T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), and end-to-end workflows such as [SetFit-based text classification](docs/tutorials/pytorch/text-classification/SetFit_model_compression_AGNews.ipynb) and [document level sentiment analysis (DLSA)](workflows/dlsa) * [NeuralChat](intel_extension_for_transformers/neural_chat), a customizable chatbot framework to create your own chatbot within minutes by leveraging a rich set of [plugins](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/neural_chat/docs/advanced_features.md) such as [Knowledge Retrieval](./intel_extension_for_transformers/neural_chat/pipeline/plugins/retrieval/README.md), [Speech Interaction](./intel_extension_for_transformers/neural_chat/pipeline/plugins/audio/README.md), [Query Caching](./intel_extension_for_transformers/neural_chat/pipeline/plugins/caching/README.md), and [Security Guardrail](./intel_extension_for_transformers/neural_chat/pipeline/plugins/security/README.md). This framework supports Intel Gaudi2/CPU/GPU. * [Inference](https://github.com/intel/neural-speed/tree/main) of Large Language Model (LLM) in pure C/C++ with weight-only quantization kernels for Intel CPU and Intel GPU (TBD), supporting [GPT-NEOX](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox), [LLAMA](https://github.com/intel/neural-speed/tree/main/neural_speed/models/llama), [MPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/mpt), [FALCON](https://github.com/intel/neural-speed/tree/main/neural_speed/models/falcon), [BLOOM-7B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/bloom), [OPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/opt), [ChatGLM2-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/chatglm), [GPT-J-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptj), and [Dolly-v2-3B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox). Support AMX, VNNI, AVX512F and AVX2 instruction set. We've boosted the performance of Intel CPUs, with a particular focus on the 4th generation Intel Xeon Scalable processor, codenamed [Sapphire Rapids](https://www.intel.com/content/www/us/en/products/docs/processors/xeon-accelerated/4th-gen-xeon-scalable-processors.html).

Embedded inference of Deep Learning models is quite challenging due to high compute requirements. TI’s Edge AI software product helps optimize and accelerate inference on TI’s embedded devices. It supports heterogeneous execution of DNNs across cortex-A based MPUs, TI’s latest generation C7x DSP, and DNN accelerator (MMA). The solution simplifies the product life cycle of DNN development and deployment by providing a rich set of tools and optimized libraries.

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

This is a super customizable, concise, user-friendly, and efficient toolkit for training and aligning LLMs. It provides support for various methods such as SFT, Distillation, DPO, ORPO, CPO, SimPO, SMPO, Non-pair Reward Modeling, Special prompts basket format, Rejection Sampling, Scoring using RM, Effective FAISS Map-Reduce Deduplication, LLM scoring using RM, NER, CLIP, Classification, and STS. The toolkit offers key libraries like PyTorch, Transformers, TRL, Accelerate, FSDP, DeepSpeed, and tools for result logging with wandb or clearml. It allows mixing datasets, generation and logging in wandb/clearml, vLLM batched generation, and aligns models using the SMPO method.

Renumics RAG is a retrieval-augmented generation assistant demo that utilizes LangChain and Streamlit. It provides a tool for indexing documents and answering questions based on the indexed data. Users can explore and visualize RAG data, configure OpenAI and Hugging Face models, and interactively explore questions and document snippets. The tool supports GPU and CPU setups, offers a command-line interface for retrieving and answering questions, and includes a web application for easy access. It also allows users to customize retrieval settings, embeddings models, and database creation. Renumics RAG is designed to enhance the question-answering process by leveraging indexed documents and providing detailed answers with sources.

The AI Toolkit by Ostris is a collection of tools for machine learning, specifically designed for image generation, LoRA (latent representations of attributes) extraction and manipulation, and model training. It provides a user-friendly interface and extensive documentation to make it accessible to both developers and non-developers. The toolkit is actively under development, with new features and improvements being added regularly. Some of the key features of the AI Toolkit include: - Batch Image Generation: Allows users to generate a batch of images based on prompts or text files, using a configuration file to specify the desired settings. - LoRA (lierla), LoCON (LyCORIS) Extractor: Facilitates the extraction of LoRA and LoCON representations from pre-trained models, enabling users to modify and manipulate these representations for various purposes. - LoRA Rescale: Provides a tool to rescale LoRA weights, allowing users to adjust the influence of specific attributes in the generated images. - LoRA Slider Trainer: Enables the training of LoRA sliders, which can be used to control and adjust specific attributes in the generated images, offering a powerful tool for fine-tuning and customization. - Extensions: Supports the creation and sharing of custom extensions, allowing users to extend the functionality of the toolkit with their own tools and scripts. - VAE (Variational Auto Encoder) Trainer: Facilitates the training of VAEs for image generation, providing users with a tool to explore and improve the quality of generated images. The AI Toolkit is a valuable resource for anyone interested in exploring and utilizing machine learning for image generation and manipulation. Its user-friendly interface, extensive documentation, and active development make it an accessible and powerful tool for both beginners and experienced users.

StarCoder2-Instruct is an open-source pipeline that introduces StarCoder2-15B-Instruct-v0.1, a self-aligned code Large Language Model (LLM) trained with a fully permissive and transparent pipeline. It generates instruction-response pairs to fine-tune StarCoder-15B without human annotations or data from proprietary LLMs. The tool is primarily finetuned for Python code generation tasks that can be verified through execution, with potential biases and limitations. Users can provide response prefixes or one-shot examples to guide the model's output. The model may have limitations with other programming languages and out-of-domain coding tasks.

This repository contains code and configurations for the LLM - Detect AI Generated Text competition. It includes setup instructions for hardware, software, dependencies, and datasets. The training section covers scripts and configurations for training LLM models, DeBERTa ranking models, and an embedding model. Text generation section details fine-tuning LLMs using the CLM objective on the PERSUADE corpus to generate student-like essays.

Prompt Panel is a tool designed to accelerate the adoption of AI agents by providing a platform where users can run large language models across any inference provider, create custom agent plugins, and use their own data safely. The tool allows users to break free from walled-gardens and have full control over their models, conversations, and logic. With Prompt Panel, users can pair their data with any language model, online or offline, and customize the system to meet their unique business needs without any restrictions.

MInference is a tool designed to accelerate pre-filling for long-context Language Models (LLMs) by leveraging dynamic sparse attention. It achieves up to a 10x speedup for pre-filling on an A100 while maintaining accuracy. The tool supports various decoding LLMs, including LLaMA-style models and Phi models, and provides custom kernels for attention computation. MInference is useful for researchers and developers working with large-scale language models who aim to improve efficiency without compromising accuracy.

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