Inspired by @ravithejads
, wrote a simple blog post on "RAG – Encoder and Reranker evaluation" using @llama_index on a custom QA dataset. Used open-source embeddings and re-rankers for the evaluation
"JinaAI-base" embedding with "bge-reranker-large" gave the best result among
OPEN SOURCE
-

RAG Encoder and Reranker Evaluation with Open-Source Models
By
–
-
Code Llama 70B Achieves 67.8 HumanEval Score
By
–
Code Llama 70B scores a 67.8 on HumanEval, making it one of the highest performing open models available today. Happy hacking!
-
Code Llama 70B Base: The Foundational Code Model
By
–
And Code Llama 70B base is the foundational code model:
-
Code Llama 70B Now Available on Replicate Platform
By
–
Code Llama 70B is live on Replicate! It's the most powerful code generation model from @AIatMeta with instruct, Python, and base variants. Code Llama 70B instruct is fine tuned for understanding natural language instructions:
-
LangChain and LangSmith Power Elastic AI Assistant Development
By
–
"Working with LangChain and LangSmith on the Elastic AI Assistant had a significant positive impact on the overall pace and quality of the development and shipping experience. We couldn’t have achieved the product experience delivered to our customers without LangChain, and we
-

Code Llama 70B Release: New High-Performance Code Generation Model
By
–
Today we’re releasing Code Llama 70B: a new, more performant version of our LLM for code generation — available under the same license as previous Code Llama models. Download the models https://
bit.ly/3Oil6bQ
• CodeLlama-70B
• CodeLlama-70B-Python
• CodeLlama-70B-Instruct -
Using %%ai Magic Command in JupyterLab for Natural Language Model Chat
By
–
Use the "%%ai" magic command to specify a model chat with the model using a natural language prompt: Check this out: https://
github.com/jupyterlab/jup
yter-ai
… -
Libraries and tech stack recommendations
By
–
Would love to know the libraries/tech stack you’re working with. 🙂
-

MLX Community Releases Quantized Code Llama Models
By
–
Just finished uploading 4 MLX models. Quantized Code Llama 7B and 13B, Python and Instruct! Link here https://
huggingface.co/mlx-community