add https://github.com/nebuly-ai/nebullvm/tree/main/apps/accelerate/chatllama

LLM Providers:

CerebriumAI
ForefrontAI
NLPCloud
Petals

Tools

Runhouse
https://github.com/Helicone/helicone
https://promptlayer.com/

Embedding Providers

LLM APIs:

• https://docs.ai21.com/docs/complete-api

LLM Guides:

• https://github.com/Hannibal046/Awesome-LLM

LLM Open Source Models:

• GLM, 130B
• YaLM, 100B
• UL2, 20B
• Flan-T5 11B

LLM Training Frameworks:

• deepspeed
• MosaicML
• Colassal-AI
• BMTrain

https://humanloop.com/
www.promptops.com
https://www.marktechpost.com/2023/02/22/top-large-language-models-llms-in-2023-from-openai-google-ai-deepmind-anthropic-baidu-huawei-meta-ai-ai21-labs-lg-ai-research-and-nvidia/?ncid=so-nvsh-949892#cid=dl28_so-nvsh_en-us

https://huggingface.co/bigcode/santacoder

https://crfm.stanford.edu/helm/latest/?models=1

https://www.ai21.com/blog/introducing-j2

Tips and tricks for using models:
https://docs.ai21.com/docs/instruct-models

Purpose: Resource for developing with, pretraining, finetuning and hosting large language models.

Developing with LLMs

Everything you need to know when developing applications using LLM's.

• LLM API's (Text Generation, embedding)
• Frameworks
• Prompt Engineering Techniques and Research
• Tutorials, Lectures, Courses

Hosting LLMs

Everything you need to know when hosting LLM's.

• LLM Training and Hosting Frameworks
• Open Source LLM's

Training LLM's

Everything you need to know when training LLM's.

• Frameworks
• Datasets (text corpora for pretraining and other datasets for further tuning of LLM's)

Inspiration

• Companies and Services using LLM's

https://github.com/gkamradt/langchain-tutorials/blob/main/agents/Agents.ipynb

https://docs.aleph-alpha.com/docs/pricing/