Not completely made up actually – best guess more like. If you look at the size of GPT-3 and GPT-4, they reflect the relative size for each model (175b vs rumoured 1.8t for GPT-4). Then for the others I reduced the size for the models based on their price – so yes we don't know,
LLMS
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Cloudflare Accuses Perplexity of Bot Abuse, Cites OpenAI
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Cloudflare vs Perplexity What happened? @Cloudflare accused Perplexity for using bots to bypass robots txt restrictions and pointed out at OpenAI as a good player in the field. At the meantime, Perplexity has been relying on 3rd party for some Agentic tasks which has been one
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Expert Benchmarking: Diagnosing AI Mathematical and Lookup Weaknesses
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This is a really nicely done paper, and a good example of how experts can not only design good benchmarks but also better diagnose what the AI is doing wrong. In this case, not turning to lookup tables and not doing math with coding tools (both of these seem solvable in time)
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Understanding How Large Language Models Work
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Trying to understand what an LLM does is like trying to unscramble an omelet.
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100+ Free AI Agents and RAG Tutorials Released
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Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
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100+ Free Step-by-Step AI Agents and RAG Tutorials
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
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ChatGPT-Driven Anxiety Fuels AI Doomerism Movement
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to be fair, 80-90% of the doomers are in it bc chatgpt made them anxious, and he sees a lot of that
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Discover 3000+ Cutting-Edge AI Tools for Every Use Case
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These tools are just the tip of the iceberg. Discover 3,000+ cutting-edge AI tools for every use case at https://
buff.ly/c9n5uGV
The largest AI tools directory. #AI #AITools #FutureOfWork #Futurepedia -
Where Are Encoder-Decoders Being Used in AI?
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oh where have you been seeing encoder-decoders come up?
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RETRO: Revisiting DeepMind’s Knowledge Outsourcing Architecture
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RETRO (DeepMind, 2021) is a beautiful idea, one badly in need of revisiting the central innovation of retro is to have a small model decide what token to predict next, but outsource all knowledge to a large offline datastore this has the added benefit of allowing you to insert