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OnLift provides AI-ready documentation that helps developers generate consistent and high-quality code using tools like ChatGPT, GitHub Copilot, and others. Their service reduces debugging time and enhances project efficiency by offering tailored documentation such as Product Requirements, Frontend Architecture, and Backend Architecture.
A list of 11 open source AI projects designed to help developers streamline their work, from training models to improving productivity and data management.
Project Name | Description |
---|---|
Upscayl | Increases image resolution for enhanced detail, ideal for digital artwork. |
Nyro | Automates mundane tasks like taking screenshots and resizing windows. |
Geppetto | Enhances Slack documentation with help from LLMs and can request art from Dall-E. |
E2B sandboxes | Allows LLMs to use web browsers, GitHub, and command-line tools for tasks like cloud management. |
Dataline | Generates SQL commands to extract data and create data science reports locally. |
Swirl Connect | Links standard databases with LLMs and RAG search indices for easier data access. |
DSPy | Offers a systematic approach to LLM training by connecting modules and optimizers. |
Guardrails | Integrates controls into generative AI pipelines to refine AI-generated answers and reduce errors. |
Unsloth | Optimizes training of open-source models for faster and more accurate results. |
Wren AI for SQL | Translates natural language questions into SQL queries, simplifying data retrieval. |
AnythingLLM | Organizes digital documents and allows querying with any LLM or RAG system. |
The article discusses the role of AI agents in generative AI, focusing on tool calling and reasoning abilities, and how they can be evaluated using benchmarks like BFCL and Nexus Function Calling Benchmark.
Learn how Google's Prompt Poet simplifies advanced prompt engineering and integrates few-shot learning to rapidly customize LLMs without complex fine-tuning.
Tutorial on enforcing JSON output with Llama.cpp or the Gemini’s API for structured data generation from LLMs.
A list of 13 open-source software for building and managing production-ready AI applications. The tools cover various aspects of AI development, including LLM tool integration, vector databases, RAG pipelines, model training and deployment, LLM routing, data pipelines, AI agent monitoring, LLM observability, and AI app development.
Hugging Face introduces a unified tool use API across multiple model families, making it easier to implement tool use in language models.
Hugging Face has extended chat templates to support tools, offering a unified approach to tool use with the following features:
A curated list of awesome tools and libraries for large language models.
This page lists various tools that can be integrated with LangChain, categorized by their functionalities. These tools range from search engines and code interpreters to API connectors and data manipulation tools.
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