amritap-ef's Stars
callmesora/llmops-python-package
Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.
mem0ai/mem0
The Memory layer for your AI apps
huggingface/smol-course
A course on aligning smol models.
saharmor/voice-lab
Testing and evaluation framework for voice agents
microsoft/TinyTroupe
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
fixie-ai/ultravox
A fast multimodal LLM for real-time voice
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
SylphAI-Inc/LLM-engineer-handbook
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
NirDiamant/Prompt_Engineering
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.
PacktPublishing/LLM-Engineers-Handbook
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
janhq/ichigo
Local realtime voice AI
faridrashidi/kaggle-solutions
๐ Collection of Kaggle Solutions and Ideas ๐
zml/zml
Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
huggingface/candle
Minimalist ML framework for Rust
NousResearch/Hermes-Function-Calling
sunny2309/llamaindex_tutorials
LlamaIndex Tutorials
zion-king/ai-summer-of-code
4 weeks of hands-on technical training in Large Language Models and Generative AI engineering.
andysingal/LLMops
purpose of this repo is to Implement LLMOPs as shared in Deeplearning AI course
distantmagic/llmops-handbook
Practical and advanced guide to LLMOps. It provides a solid understanding of large language modelsโ general concepts, deployment techniques, and software engineering practices. (work in progress)
dstackai/dstack
dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem support. It natively supports NVIDIA, AMD, & TPU.
decodingml/llm-twin-course
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
sarthakrastogi/quality-prompts
fmind/mlops-python-package
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
awslabs/agent-evaluation
A generative AI-powered framework for testing virtual agents.
awslabs/data-on-eks
DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS
Cenrax/FinetuningPhi3ForFunctionalToken
In this project, I have finetuned a model for directly predicting a functional token using the OctopusV2 paper
davanstrien/haiku-dpo
Using open source LLMs to build synthetic datasets for direct preference optimization
Arize-ai/phoenix
AI Observability & Evaluation
guardrails-ai/guardrails
Adding guardrails to large language models.
aws/fmeval
Foundation Model Evaluations Library