Turbocharge RAG with LangChain and Vespa Streaming Mode for Sharded Data @vespaengine
's streaming search solution enables you to efficiently search over sharded data – perfect for when you want to store data grouped by user id @jobergum wrote a great article (complete with
MACHINE LEARNING
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RAG Optimization with LangChain and Vespa Streaming
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Understanding Deep Learning Book by Simon Prince Released
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GitHub – udlbook/udlbook: Understanding Deep Learning – Simon J.D. Prince https://
bit.ly/3Raje5M #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Batch Size Constraints: GPU SM Saturation and Memory Limits
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For a large enough batch size on a given expert, you'll either saturate the SMs or run out of memory
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BPE Tokenization Dies: 2024 Marks Major Transformer Evolution
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i can see it now: 2024 will be remembered as the year BPE died tokenization is by far the clunkiest part of a transformer; one last remaining bit of inelegance in an otherwise hyperoptimized model architecture time for it to go
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Google Showcases Cutting Edge AI Projects at NeurIPS 2023 Expo
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The #NeurIPS2023 Expo floor is now open! If you're attending @NeurIPSConf
, stop by the Google booth (#215) where you can chat with researchers, attend a demo or Q&A session, and learn about some of our many cutting edge projects. http://
goo.gle/47OE0Pv -
ChatGPT Screenshot to Code GPT converts website screenshots to code
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ChatGPT can be a powerful coding assistant..
— God of Prompt (@godofprompt) 11 décembre 2023
That's why I've built Screenshot to Code GPT.
Upload any screenshot of a website, and it will turn it to code in seconds!
Try it here: https://t.co/0dcCMJGR41 #CustomGPTs #GPTs #GPTPlus #GPTStore #ChatGPT4 #ChatGPTPlus #OpenAI… pic.twitter.com/ayqbSvpUV9ChatGPT can be a powerful coding assistant.. That's why I've built Screenshot to Code GPT. Upload any screenshot of a website, and it will turn it to code in seconds! Try it here: https://
godofprompt.ai/gpts/screensho
t-to-code-gpt
… #CustomGPTs #GPTs #GPTPlus #GPTStore #ChatGPT4 #ChatGPTPlus #OpenAI -

Mixtral Outperforms Llama 2 70B on European Language Benchmarks
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Mixtral has been trained on a lot of multilingual data and significantly outperforms Llama 2 70B on French, German, Spanish, and Italian benchmarks. (4/n)
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Mixtral outperforms Mistral 7B in science, mathematics, and code
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Compared to Mistral 7B, Mixtral is significantly stronger in science, in particular in mathematics and code generation. (5/n)
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Mixtral Architecture: 8 Feedforward Blocks with Router-Selected Experts
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Mixtral has a similar architecture as Mistral 7B, with the difference that each layer is composed of 8 feedforward blocks. For every token, at each layer, a router network selects two experts to process the current state and combine their outputs. (2/n)
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Mixtral: 12B Speed with 45B Parameter Access via Expert Selection
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Even though each token only sees two experts, the selected experts can be different at each timestep. As a result, Mixtral decodes at the speed of a 12B model, while effectively having access to 45B parameters. (3/n)