The thing about modern AI development - both developing things with AI and developing AI things - is that you often need to know the right magic incantations...

An AI coding engine for complex tasks. Contribute to plandex-ai/plandex development by creating an account on GitHub.

Implementing a ChatGPT-like LLM from scratch, step by step - rasbt/LLMs-from-scratch: Implementing a ChatGPT-like LLM from scratch, step by step

Colab 01. Learning LangGraph Agent Executor: https://drp.li/vL1J9 Colab 02. Learning LangGraph - Chat Executor: https://drp.li/HAz3o Colab 03. Learning LangGraph - Agent Supervisor: https://drp.li/xvEwd Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes Github: https://github.com/samwit/langchain-tutorials (updated) https://github.com/samwit/llm-tutorials Time Stamps: 00:00 Intro 00:19 What is LangGraph? 00:26 LangGraph Blog 01:38 StateGraph 02:16 Nodes 02:42 Edges 03:48 Compiling the Graph 05:23 Code Time 05:34 Agent with new create_open_ai 21:37 Chat Executor 27:00 Agent Supervisor

LoRA (Low-Rank Adaptation) is a popular technique to finetune LLMs more efficiently. This Studio explains how LoRA works by coding it from scratch, which is an excellent exercise for looking under the hood of an algorithm.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Stable Code, an upgrade from Stable Code Alpha 3B, specializes in code completion and outperforms predecessors in efficiency and multi-language support. It is compatible with standard laptops, including non-GPU models, and features capabilities like FIM and expanded context size. Trained in multiple

Cursor is the IDE of the future, built for pair-programming with Powerful AI.

A tiny library for coding with large language models. - srush/MiniChain: A tiny library for coding with large language models.

In this video, we will walk through the steps of building a research assistant from scratch with LangChain and LangSmith. We will cover prompting strategies,...

Please return only json, do not add any other comments ONLY RETURN JSON OR I'LL TAKE A LIFE If this was you, then you've probably been pretty happy to see OpenAI function_call get released, I'm here to show you how you can get the most out of such powerful feature. Instead of writing prompts that turn strings into strings, we can write Pydantic objects and get Pydantic objects out of OpenAI. In this talk we explore some model driven development. Where we go step by step with some examples on how to represent your problem as simple code so we can model, generate diagrams, and write prompts as code to save time and model complex data correctly, allow us to use the same best practices rather than having to invent new ones for how we manage prompts. Recorded live in San Francisco at the AI Engineer Summit 2023. See the full schedule of talks at https://ai.engineer/summit/schedule & join us at the AI Engineer World's Fair in 2024! Get your tickets today at https://ai.engineer/worlds-fair About Jason Liu Previously stitch fix and Facebook. Currently consulting startups on production using llm systems.

Contribute to danielgross/localpilot development by creating an account on GitHub.

Seamlessly integrate LLMs as Python functions. Contribute to jackmpcollins/magentic development by creating an account on GitHub.

An open source implementation of OpenAI's ChatGPT Code interpreter - ricklamers/gpt-code-ui: An open source implementation of OpenAI's ChatGPT Code interpreter

with 100k context windows on the way, it's now feasible for every dev to have their own smol developer - GitHub - smol-ai/developer: with 100k context windows on the way, it's now f...

Imagine a bunch of product managers sitting in a sprint planning meeting where, after signing off on the tasks to be done this sprint and starting the sprint, ChatGPT was deployed on those tasks.

A Bulletproof Way to Generate Structured JSON from Language Models - GitHub - 1rgs/jsonformer: A Bulletproof Way to Generate Structured JSON from Language Models

GitHub Copilot X is a big upgrade.

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models - ysymyth/ReAct: [ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models