Introducing Jais 30B, the latest open source Arabic-English model developed by Core42 & Cerebras. It sets a new benchmark in Arabic LLM accuracy and outperforms Llama 30B in English. Trained on 16x Cerebras CS-2s using only data parallelism. https://
g42.ai/resources/publ
ications/Jais-30B
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LLMS
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Jais 30B: New Open Source Arabic-English LLM Benchmark
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Parallel Function Calling Improves Data Extraction Significantly
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Parallel function calling for extraction The newest OpenAI models allow you do parallel function calling The main focus here as been on how this improves assistants, but this also makes extraction **significantly** easier for the following reasons: Less logic needed to
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Major AI Industry Event Paris November 17 Features Tech Leaders
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Big AI industry event at Station F in Paris, Friday Nov 17. Keynote Speakers: Eric Schmidt (Schmidt Future), Jensen Huang (CEO Nvidia), Xavier Niel (Iliad/Scaleway). Speakers include: Thomas Scialom (Meta, of Llama fame), Arthur Mensch (CEO Mistral, or Mistral-7B fame), Jason
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GPTs with Reliable Date Understanding and Historical Data Retrieval
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GPTs but they understand dates anyone figured out a way to get consistent accuracy on dates, finding info in the past (1 day, 7 days etc) ??
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ChatGPT Memory Enhancement with Conversation History
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Agreed, next up, I want ChatGPT to remember all previous conversations we had plus priming data.
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Interview with Paige Bailey: AI Pioneer at Google DeepMind and GitHub
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Good morning fellow AI enthusiast! I received none other than @DynamicWebPaige
, a pioneer in AI product management and a visionary who’s been at the helm of transformative projects at @GoogleDeepMind and @github
, working on the most advanced LLM projects. https://
open.substack.com/pub/louisbouch
ard/p/behind-the-ai-revolution-paige-bailey?r=25qlky&utm_campaign=post&utm_medium=web
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ChatGPT answers questions about nonexistent images using prefix syntax
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ChatGPT answers questions (within reason) about images that don’t exist when prefixed with the syntax shown — the file name is arbitrary:
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GPT-4V Praised for Sophisticated Position Analysis
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Wow such a sophisticated analysis of the position. Thanks for the explanation, GPT-4V. 😀
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Four Minute AI Training Statement Credibility Question
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The 4 min training statement you have more details on that? Sounds highly improbable?
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128K context: no proportional attention increase
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Enjoyed this experiment — 128K context is great but you don’t get proportionally more attention. Each output token can only consider so much. Translation — fine
Extraction, doc Q&A — maybe?
Parity bit of input — absurd; the model is not a god