menghini-neurips23-code

21 Lessons, Get Started Building with Generative AI ? https://microsoft.github.io/generative-ai-for-beginners/

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! ?

LlamaIndex is the leading framework for building LLM-powered agents over your data.

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

? Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. ?YC W23

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

A collection of ZSH frameworks, plugins, themes and tutorials.

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?