TECH BLOG: SambaStudio now supports text embedding models, enhancing #LLMs with Retrieval Augmented Generation (RAG) capabilities. RAG improves base LLMs on factuality, reduced hallucinations, and more by providing correct context to the LLM. https://
sambanova.ai/blog/introduci
ng-text-embedding-model-support-in-sambastudio-elevating-information-retrieval-and-augmenting-large-language-models/
… #ai #ml
RESEARCH
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SambaStudio Adds Text Embedding Models RAG Capabilities
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MLflow 2.8 LLM-as-a-Judge Evaluation for RAG Applications
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Get out-of-the-box metrics like latency, tokens and more, using #MLflow 2.8 with LLM-as-a-judge Discover how it can save you time and money and best practices for #LLM evaluation in RAG applications https://
bit.ly/3FHCWAg -
AI Research Reveals Obesity’s Impact on Immune System
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An exceptional review of how obesity revs up the immune system and inflammation, including what happens with weight regain https://
science.org/doi/10.1126/sc
itranslmed.adf9382
… @ScienceTM @ahasty4 @VUMChealth -
FAIR-Paris Founded 2015 Launched French AI Ecosystem
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I did choose France.
I established FAIR-Paris in 2015, which was instrumental in jump-starting the AI ecosystem in France.
Mistral, Kyutai, and Nabla are co-founded and populated by former FAIR-Paris scientists and engineers. -
FAIR-Paris: Catalyzing France’s AI Ecosystem Since 2015
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I did choose France.
I established FAIR-Paris in 2015, which was instrumental in jump-starting the AI ecosystem in France. -
LangSmith Benchmarks: Evaluate LLM Performance on Your System
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More to come! Check out the blog post for more information on how to get started, or see the benchmark docs to run these on your own system. https://
blog.langchain.dev/public-langsmi
th-benchmarks/
… https://
langchain-ai.github.io/langchain-benc
hmarks/index.html
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LangChain Benchmarks Package for LLM and Embedding Comparison
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Try it yourself We've published the new langchain-benchmarks package, which provides tooling to easily compare LLMs, embeddings, indexing techniques, and more across these datasets, so you can find the optimal solution for each task.
https://
langchain-ai.github.io/langchain-benc
hmarks/notebooks/retrieval/langchain_docs_qa.html
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LangSmith Benchmarking: Compare AI Systems Side-by-Side
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Compare Since all these benchmarks are built using LangSmith, you can easily spot where different systems go wrong and compare them side-by-side. You can also go beyond aggregate statistics to examine the step-by-step execution of different systems on the same data point.
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LangSmith Launches Public Q&A Benchmark Dataset
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🦜💪 Public LangSmith Benchmarks
— LangChain (@LangChain) 22 novembre 2023
Deploying LLM apps requires great evaluation, but writing evals can be painstaking.
We're launching a Q&A benchmark dataset on LangSmith so you can easily compare architectures .
Dataset: https://t.co/UEuqpyb15Q
Blog: https://t.co/Y85mNP1clJ pic.twitter.com/JkZ0MlbHROPublic LangSmith Benchmarks Deploying LLM apps requires great evaluation, but writing evals can be painstaking. We're launching a Q&A benchmark dataset on LangSmith so you can easily compare architectures . Dataset: https://
smith.langchain.com/public/452ccaf
c-18e1-4314-885b-edd735f17b9d/d
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Blog: https://
blog.langchain.dev/public-langsmi
th-benchmarks/
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Open Source AI Infrastructure and Crowdsourced Training Importance
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One of the most important reason why AI infrastructure models must be open source, and their training/fine-tuning must be crowd-sourced.