Flan-2 is published in JMLR https://
jmlr.org/papers/v25/23-
0870.html
…. I think it's a nice piece of history. The work scaled instruction tuning with respect to model size and finetuning tasks, which both improved performance. Our MMLU was 75%, SOTA when the paper came out in Oct 2022. Our
GENERATIVE AI
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Flan-2 Published in JMLR: Scaling Instruction Tuning
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Snorkel AI at Google Cloud NEXT: Data-Centric AI Insights
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Going to Google Cloud NEXT? Come by booth #AI2 in the AI Pavillion to say “hi” to our AI experts! You can hear Snorkel AI's insights at two “How Wayfair is transforming customer experiences with data-centric AI” and “Diversity in Startups: Tactics for Accelerating Success.”
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AI-Generated Memes with Humorous Tech-Based Slang
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Someone on Reddit is using ChatGPT to generate memes that only AI would understand. This one is my favorite. I like to imagine that “algomillims” and “that’s so cache” is AI youth slang.
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Poe Launches Price Per Message Feature for Creators
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Price per message is now available for creators on Poe! (1/2) https://t.co/Rl1tbBg4EK
— Poe (@poe_platform) 8 avril 2024Price per message is now available for creators on Poe! (1/2)
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GenAI Use Cases Discussed at RAISE Summit Event
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#Clap de fin du #RAISESummit Ravie d’avoir pu croiser @ProustNicolas @Oracle pour parler cas d’usage sur la #GENAI. More to come ! #stayTuned #IA #IntelligenceArtificielle #LLM #ML #innovation #Tech
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Future of Search: Perplexity AI and the Age of Artificial Intelligence
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— FlashTweet (@FlashTweet) 8 avril 2024
[#EnDirect #RAISESummit] Le Futur de la recherche à l’âge de l’IA #OnStage @AravSrinivas, le petit génie à l’origine de @perplexity_ai, un moteur de recherche, mix de #ChatGPT et #Wikipedia. Modeste, il rappelle que l’objectif n’a jamais été de concurrencer #Google. Au
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Perplexity AI Transforms Search: The Future of Research
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[#EnDirect #RAISESummit]
— FlashTweet (@FlashTweet) 8 avril 2024
✅Le Futur de la recherche à l’âge de l’IA #OnStage @AravSrinivas, le petit génie à l’origine de @perplexity_ai, un moteur de recherche, mix de #ChatGPT et #Wikipedia.
Modeste, il rappelle que l’objectif n’a jamais été de concurrencer #Google.
Au… pic.twitter.com/2bDhiBIyjC[#EnDirect #RAISESummit] Le Futur de la recherche à l’âge de l’IA #OnStage @AravSrinivas
, le petit génie à l’origine de @perplexity_ai
, un moteur de recherche, mix de #ChatGPT et #Wikipedia. Modeste, il rappelle que l’objectif n’a jamais été de concurrencer #Google. Au -
Using Cursor AI to Write JSON Mode Unit Tests
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also today i learned that you can just use @cursor_ai to write JSON mode unit tests
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Serverless ChatGPT RAG with LangChain.js and Azure
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🚀Serverless ChatGPT with RAG using LangChain.js
— LangChain (@LangChain) 8 avril 2024
Great OSS repo that shows how to build a serverless ChatGPT-like experience with Retrieval-Augmented Generation using LangChain.js and Azurehttps://t.co/Bh95rgu7Bb pic.twitter.com/UlLf38DKrbServerless ChatGPT with RAG using LangChain.js Great OSS repo that shows how to build a serverless ChatGPT-like experience with Retrieval-Augmented Generation using LangChain.js and Azure https://
github.com/Azure-Samples/
serverless-chat-langchainjs?tab=readme-ov-file
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Combining Multiple AI Models for Improved Results
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It's not perfect, but on average, it should improve results significantly compared to using models individually. If anyone wants to improve it, there a lot of gains to be made by adding context about the strengths/weaknesses of each model in the final prompt.