Context Window Shapes AI Understanding Optimizes your AI interactions • Craft targeted prompts
• Select suitable AI tools
• Tailor AI conversations Read more: https://
buff.ly/3T1fWDE
LLMS
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Context Window Shapes AI Understanding: Optimize Your AI Interactions
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On evaluating LLMs and token-scale confusions
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Hard to say for LLMs because there’s no “all else being equal” — there aren’t any comparably large byte-token models. At smaller scales, I’d expect “Scunthorpe” style problems — confusions explainable as the result of spelling coincidences. I’m just guessing here though.
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Tokenization issues and GPT-4 digit tokenization
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Bytes are still tokens. You’d still have tokenization issues, just new and likely worse ones. Note digits are tokenized specially in GPT-4 as one token per pair. Even in that special case they didn’t go down to single digits.
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Speculative RAG Improves Retrieval Augmented Generation Quality
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Speculative RAG splits Retrieval Augmented Generation tasks into two separate steps of drafting followed by verification to provide high-quality answer candidates, and substantially improve the quality and speed of the final output generation. Learn more →
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Flexible RAG Systems Development Webinar with Industry Experts
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Join us for a webinar with @wandb
, featuring insights from @maximevoisin_ai and @ayushthakur0 on developing flexible RAG systems. -
Cerebras Releases DocChat: GPT-4 Level Document AI Model
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Cerebras Announces DocChat: GPT-4 Level Conversational QA Trained in a Few Hours DocChat is our latest document-based conversational AI model series, that includes two models: Cerebras Llama3-DocChat – An LLM that was trained to GPT-4 level document-based Q&A
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Vector Database Usage Surges 377% Among LLM-Augmented Companies
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Data from our 10k customers shows that Vector Database usage grew 377% in one year!
— Databricks (@databricks) 21 août 2024
The takeaway: companies are hyperfocused on augmenting #LLMs with custom data vs just using standalone off-the-shelf LLMs.
Read our report for more insights:https://t.co/qgK12erMYm pic.twitter.com/P72nzblPm7Data from our 10k customers shows that Vector Database usage grew 377% in one year! The takeaway: companies are hyperfocused on augmenting #LLMs with custom data vs just using standalone off-the-shelf LLMs. Read our report for more insights: https://
dbricks.co/4dhJBjH -
Try Popular LLMs Including Llama 400B on ChatLLM
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Play around with popular LLMs like Llama 400B on ChatLLM! pic.twitter.com/bk8fT6aoxk
— Abacus.AI (@abacusai) 21 août 2024Play around with popular LLMs like Llama 400B on ChatLLM!
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Building AI Applications with Haystack: New Short Course
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Build and customize complex AI applications with a flexible framework in this new short course, Building AI Applications with Haystack. Created in collaboration with @deepset_ai, and taught by @tuanacelik, who is the developer relations lead for Haystack at deepset.
— Andrew Ng (@AndrewYNg) 21 août 2024
Generative… pic.twitter.com/wqeTGILOx7Build and customize complex AI applications with a flexible framework in this new short course, Building AI Applications with Haystack. Created in collaboration with @deepset_ai
, and taught by @tuanacelik
, who is the developer relations lead for Haystack at deepset. Generative
