- 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
This article features a curated list of the top data science articles published in July, covering topics such as LLM apps, chatGPT, data visualization, multi-agent AI systems, and essential data science skills for 2024.
The article discusses the importance of cheat sheets for frontend developers and provides a list of the seven best cheat sheets to help with various frontend development tasks.
1. Codecademy FrontEnd Cheat Sheets
2. The Frameworks Cheatsheet
3. SheCodes CSS Cheat Sheet
4. Responsive Web Design Cheat Sheet
5. Flexbox Cheatsheet Cheatsheet
6. HTML5 Canvas Cheat Sheet
7. Sass Cheat Sheet
Chip Huyen analyzed 845 open source AI tool repositories on GitHub using keywords like gpt, llm, and generative ai. He categorized these into infrastructure, model development, application development, and applications layers. There was significant growth in application development and model development layers in 2023, with popular applications being coding, bots, and info aggregation. Tools like Qdrant, Pinecone, and LanceDB emerged in infrastructure layer. Notable contributors include lucidrains, ggerganov, Illyasviel, xtekky, and RNN-based models like RWKV.
The Best Science Fiction Books of All Time
Ender’s Game by Orson Scott Card, 1985
Do Androids Dream of Electric Sheep? By Philip K. Dick, 1968
Dune by Frank Herbert, 1965
Nineteen Eighty-Four by George Orwell, 1949
Foundation by Isaac Asimov, 1942
The Time Machine by H. G. Wells, 1895
The Ultimate Hitchhiker’s Guide by Douglas Adams, 1979
Frankenstein by Mary Shelley, 1818
The Handmaid’s Tale by Margaret Atwood, 1985
The Martian by Andy Weir, 2011
Brave New World by Aldous Huxley, 1932
Hyperion by Dan Simmons, 1989
Ringworld by Larry Niven, 1970
I, Robot by Isaac Asimov, 1950
Stranger in a Strange Land by Robert A. Heinlein, 1961
The War of the Worlds by H. G. Wells, 1898
A Wrinkle in Time by Madeleine L’Engle, 1962
Journey to the Center of the Earth by Jules Verne, 1864
Jurassic Park by Michael Crichton, 1990
Fahrenheit 451 by by Ray Bradbury, 1953
Dark Matter by Blake Crouch, 2016
A Clockwork Orange by by Anthony Burgess, 1962
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)