- Approximate Tokens, Words and Characters Calculator for LLM's and Text Trimmer — Simple calculator to estimate tokens for Large Language Models and text editor to trim text
- Text File Merger for LLM — This tool combines multiple text files into a single document, with clear separation between files
- PDF to TXT Converter — Convert PDF documents to plain text format for use with LLMs and text analysis
- HTML to TXT Converter — Remove HTML tags and extract clean text content for LLM processing
- LLM System Prompt Generator — Generate optimized system prompts for different LLM model sizes (3B, 33B, 70B, etc.)
- Creative Idea Generator — AI-powered brainstorming tool for generating creative solutions and ideas
- Text File Merger for LLM — This tool combines multiple text files into a single document, with clear separation between files
- PDF to TXT Converter — Convert PDF documents to plain text format for use with LLMs and text analysis
- HTML to TXT Converter — Remove HTML tags and extract clean text content for LLM processing
- LLM System Prompt Generator — Generate optimized system prompts for different LLM model sizes (3B, 33B, 70B, etc.)
- Creative Idea Generator — AI-powered brainstorming tool for generating creative solutions and ideas
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. |
| 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.
1. Composio - Seamless integration of tools with LLMs.
2. Weaviate - AI-native vector database for AI apps.
3. Haystack - Framework for building efficient RAG pipelines.
4. LitGPT - Pretrain, fine-tune, and deploy models at scale.
5. DsPy - Framework for programming LLMs.
6. Portkey's Gateway - Reliably route to 200+ LLMs with one API.
7. AirByte - Reliable and extensible open-source data pipeline.
8. AgentOps - Agents observability and monitoring.
9. ArizeAI's Phoenix - LLM observability and evaluation.
10. vLLM - Easy, fast, and cheap LLM serving for everyone.
11. Vercel AI SDK - Easily build AI-powered products.
12. LangGraph - Build language agents as graphs.
13. Taipy - Build AI apps in Python.
1. Composio - Seamless integration of tools with LLMs.
2. Weaviate - AI-native vector database for AI apps.
3. Haystack - Framework for building efficient RAG pipelines.
4. LitGPT - Pretrain, fine-tune, and deploy models at scale.
5. DsPy - Framework for programming LLMs.
6. Portkey's Gateway - Reliably route to 200+ LLMs with one API.
7. AirByte - Reliable and extensible open-source data pipeline.
8. AgentOps - Agents observability and monitoring.
9. ArizeAI's Phoenix - LLM observability and evaluation.
10. vLLM - Easy, fast, and cheap LLM serving for everyone.
11. Vercel AI SDK - Easily build AI-powered products.
12. LangGraph - Build language agents as graphs.
13. Taipy - Build AI apps in Python.
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:
- Defining tools: Tools can be defined using JSON schema or Python functions with clear names, accurate type hints, and complete docstrings.
- Adding tool calls to the chat: Tool calls are added as a field of assistant messages, including the tool type, name, and arguments.
- Adding tool responses to the chat: Tool responses are added as tool messages containing the tool name and content.
Hugging Face has extended chat templates to support tools, offering a unified approach to tool use with the following features:
- Defining tools: Tools can be defined using JSON schema or Python functions with clear names, accurate type hints, and complete docstrings.
- Adding tool calls to the chat: Tool calls are added as a field of assistant messages, including the tool type, name, and arguments.
- Adding tool responses to the chat: Tool responses are added as tool messages containing the tool name and content.
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.
- Composio: Streamline agent development with tool integrations.
- Julep: Build stateful AI agents with efficient context management.
- E2B: Secure sandbox for AI execution with code interpreter capabilities.
- Camel-ai: Framework for building and studying multi-agent systems.
- CopilotKit: Integrate AI copilot features into React applications.
- Aider: AI-powered pair-programmer for code assistance and repo management.
- Haystack: Composable pipeline framework for RAG applications.
- Pgvectorscale: High-performance vector database extension for PostgreSQL.
- GPTCache: Semantic caching solution for reducing LLM costs.
- Mem0 (EmbedChain): Add persistent memory to LLMs for personalized interactions.
- FastEmbed: Fast and lightweight library for embedding generation.
- Instructor: Streamline LLM output validation and extraction of structured data.
- LiteLLM: Drop-in replacement for OpenAI models, supporting various providers
- Julep: Build stateful AI agents with efficient context management.
- E2B: Secure sandbox for AI execution with code interpreter capabilities.
- Camel-ai: Framework for building and studying multi-agent systems.
- CopilotKit: Integrate AI copilot features into React applications.
- Aider: AI-powered pair-programmer for code assistance and repo management.
- Haystack: Composable pipeline framework for RAG applications.
- Pgvectorscale: High-performance vector database extension for PostgreSQL.
- GPTCache: Semantic caching solution for reducing LLM costs.
- Mem0 (EmbedChain): Add persistent memory to LLMs for personalized interactions.
- FastEmbed: Fast and lightweight library for embedding generation.
- Instructor: Streamline LLM output validation and extraction of structured data.
- LiteLLM: Drop-in replacement for OpenAI models, supporting various providers
