There is also an introduction book: https://
probml.github.io/pml-book/book1
.html
…
OPEN SOURCE
-
Introduction book resource link shared
By
–
-
Commercial-Friendly Translation Model Alternatives to NLLB
By
–
can anyone recommend a model similar to https://
huggingface.co/facebook/nllb-
200-distilled-600M
… but with a commercial-friendly license? (NLLB is _awesome_) -
OpenLLaMA: An Open Source Large Language Model Alternative
By
–
You might like OpenLLaMA then: https://
github.com/openlm-researc
h/open_llama
… -
Llama-2 Base Model and Dataset Considerations Table
By
–
They use Llama-2 as a base model, so that should be okay. I am not a lawyer and can't give advice on the dataset aspect but here is a table from the paper that might be helpful
-
Fallbacks Now Work for All Chains Implementation
By
–
Fallbacks also works for all chains! Gist showing that here: https://
gist.github.com/hwchase17/26ec
a9f20031c349bd72fdc669c05a1f
… -
Predibase and LangChain Partnership for Fine-tuning Open-Source LLMs
By
–
Predibase + @langchain
: The easiest way to #finetune and productionize open-source #LLMs! Our partnership brings production-grade workflows and managed infrastructure to teams that want to build on state-of-the-art open-source #models. Learn more: https://
pbase.ai/3qxmAXd -
RAGAS Framework for RAG Pipeline Evaluation Webinar
By
–
LangChain "RAG Evaluation" Webinar RAGAS is an open-source evaluation framework for your Retrieval Augmented Generation (RAG) pipelines I'm VERY excited to be doing a webinar with them next week! RAGAS Repo: https://
github.com/explodinggradi
ents/ragas
… Webinar: -
Dolly 15k Support Merged for NeurIPS LLM Efficiency Challenge
By
–
If you are working on the NeurIPS LLM Efficiency Challenge, Dolly 15k support is now merged: https://
github.com/Lightning-AI/l
it-gpt/pull/430
… python scripts/prepare_dolly.py
python finetune/lora.py –data_dir data/dolly/ -
LangChain Chat Updates New Pull Request Integration
By
–
always was: https://
github.com/langchain-ai/c
hat-langchain/pull/110
… -
Platypus: Open-Source LLM Achieves Top Leaderboard Performance
By
–
Platypus, a new open-source LLM at the top of the leaderboard: https://
arxiv.org/abs/2308.07317 Key points are
1) a curated dataset: removing similar & duplicate questions
2) finetuning and merging Low Rank Approximation (LoRA) modules: focusing on the non-attention modules