Top Tweets for #RAGapps
Exciting news from @MongoDB ๐
Enjoy $300 in credits, giving you 5 months of access to MongoDB Atlas cloud service. Redeem now at https://t.co/8ent7IvxV9
#MUGNairobi #RAGApps #MUG #MongoDBVector
Diving into Building RAG Apps with MongoDB! ๐
Huge thanks to @JHUBAfrica, @dscjkuat, and @MongoDB for the hands-on session. Learning how to leverage Vector Search for context-aware Generative AI applications was profoundly inspiring. Ready to build smarter!
#mongodb #RAGAPPS
How do you build your own LLM test set for document QA?
From collecting content to generating reliable Q/A pairs and running ablations.
We break it down.
For more check out our blog: https://t.co/DwhnBt6HL6
#RAGapps #LLMtesting #DocumentQA #AIevaluation #EnterpriseAI #GroundTruth #RetrievalAugmentedGeneration #MLOps #AIforDocs #GenerativeAI #LangChain #PromptEngineering #AIExplained
Todayโs Faya:80 is on RAG apps in collaboration with Google for developers! We're diving into how to craft dynamic Retrieval-Augmented Generation applications using Google Gemini and Gemma. #AI #Innovation
Let's innovate together! #RAGapps #GoogleDevelopers #Fayaport80
๐ Get ready for an exciting adventure at the Tool Face-Off Hackathon, powered by cutting-edge technology and an extraordinary lineup of visionary speakers!
๐๏ธ Mark your calendars Friday, April 26th, 6:00 PM CET, as we kick off this thrilling journey with our esteemed speakers:
๐๏ธAnupam Datta, Co-Founder, President, Chief Scientist at TruEra
Topic: Evaluating Assistants API & LlamaIndex/MongoDB applications
๐๏ธLaurie Voss, VP Developer Relations at LlamaIndex
Topic: Advanced RAG with agentic strategies
๐๏ธPrakul Agarwal, ML Product Manager at Mongo DB
Topic: RAG and Evaluation for LLM Success
๐ Come learn with us about Assistants API and LlamaIndex/MongoDB. Let's spark your creativity, shape the future of tech, and compete to win! There's a $10,000 USD cash prize pool and a special prize of $3,000 USD for the best use of each toolset.
๐ Haven't registered yet? Secure your spot now and choose your preferred toolset for this epic clash of titans! Sign up here: https://t.co/XSfTmh78RX
Since this course launched, tens of thousands of people have signed up. #RAGapps are one of the most popular uses of #LLMs.
This free, 60 minute course from @truera_ai and @llama_index shows you how to both build and iterate RAG apps, so that you create something production worthy.
#AIQuality #LLMOps #MLOps #RAI #TrustworthyAI
New short course on sophisticated RAG (Retrieval Augmented Generation) techniques is out! Taught by @jerryjliu0 and @datta_cs of @llama_index and @truera_ai , this teaches advanced techniques that help your LLM generate good answers.
Topics include:
- Sentence-window retrieval, which retrieves not just the most relevant sentence, but a window of sentences around it for higher quality context.
- Auto-merging retrieval, which organizes your document into a hierarchical tree structure, where each parent node's text is split among its child nodes. Based on the relevance of the child nodes to a user query, this lets you better decide whether the entire parent node should be provided as context to the LLM.
- Evaluation methodology for separately evaluating the quality of the key steps of RAG (context relevance, answer relevance, groundedness) so that you can perform error analysis, identify which part of your pipeline needs work, and tune components systematically.
Please check out the course!
https://t.co/O23Z2CDldk
Tens of thousands of developers have already signed up for this short course on #RAGapps on @DeepLearningAI.
Learn how to build *and* iterate a RAG app so that it's production ready. It's free - enroll now!
#GenAI #LLMapps #RAG #AIQuality #TrustworthyAI
New short course on sophisticated RAG (Retrieval Augmented Generation) techniques is out! Taught by @jerryjliu0 and @datta_cs of @llama_index and @truera_ai , this teaches advanced techniques that help your LLM generate good answers.
Topics include:
- Sentence-window retrieval, which retrieves not just the most relevant sentence, but a window of sentences around it for higher quality context.
- Auto-merging retrieval, which organizes your document into a hierarchical tree structure, where each parent node's text is split among its child nodes. Based on the relevance of the child nodes to a user query, this lets you better decide whether the entire parent node should be provided as context to the LLM.
- Evaluation methodology for separately evaluating the quality of the key steps of RAG (context relevance, answer relevance, groundedness) so that you can perform error analysis, identify which part of your pipeline needs work, and tune components systematically.
Please check out the course!
https://t.co/O23Z2CDldk
Learn how to build better #RAGapps with #Milvus (@zilliz_universe) and TruLens!
#LLMapps #RAG #RAI #LLMObservability
๐๐ Unlock the power of LLMs for retrieval augmented generation with @TruLensML and #Milvus and enhance your #AI applications with accurate, relevant information.
https://t.co/tz8DA9a6iN by @_jreini of @truera_ai #LLM
Over 15,000 people have signed up for next week's LIVE workshop on building #RAGapps with @jerryjliu0 and @datta_cs!
You don't want to miss it - sign up today!
It's a great complement to the on-demand course that launched on @DeepLearningAI yesterday. Sign up for both!
Our workshop on building, evaluating, and iterating LLM Agents will be led by industry leaders Jerry Liu, CEO of @llama_index, and Anupam Datta, President and Chief Scientist of @truera_ai.
See you on December 5!
Register here: https://t.co/8cmFI50En8
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