Quick Start Guide to Large Language Models — Strategies and Best Practices for Using #LLMs: http://
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LLMS
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Quick Start Guide to Large Language Models: Strategies and Best Practices
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Amazon invests $2.75B in Anthropic valuation reaches $18.4B
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Amazon just made its largest outside investment in history at $2.75 Billion. In none other than Anthropic. This puts Anthropic's valuation at roughly $18.4 billion.
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Claude 3 vs GPT-4: Master AI Agents Workshop
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I've personally been using Claude 3 > GPT-4 for the past two weeks. If you want to learn how to use Claude 3 to replicate your writing style, then dive deeper into deploying Claude AI agents: Join our live workshop this Friday: https://
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Claude 3 Opus Surpasses GPT-4 on LMSYS Chatbot Arena
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Anthropic's Claude 3 Opus model surpassed GPT-4 for the first time on the LMSYS Chatbot Arena leaderboard. Pretty significant milestone in the rapidly evolving LLM landscape, imo. Pressure is on for OpenAI.
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Databricks DBRX: New Open-Source LLM Standard Outperforming Competitors
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Databricks just announced DBRX, a new standard for open-sourced LLMs.
— Rowan Cheung (@rowancheung) 28 mars 2024
DBRX outperforms Mixtral MoE, Llama-2 70B, and Grok-1 in language understanding, programming, and math.
Most surprising, was the model was reportedly trained in just 2 months with $10M pic.twitter.com/HvyxOx084gDatabricks just announced DBRX, a new standard for open-sourced LLMs. DBRX outperforms Mixtral MoE, Llama-2 70B, and Grok-1 in language understanding, programming, and math. Most surprising, was the model was reportedly trained in just 2 months with $10M
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New Open-Source LLM Outperforms Grok, Llama-2, Mixtral
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AI NEWS: A new open-source LLM that beats Grok, LLama-2, and Mixtral is here. Plus, more developments from Anthropic Claude 3, Amazon, MIT, Heygen, OpenAI, and Hume AI. Here's everything going on in AI right now:
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DBRX Open-Source LLM Model Surpasses Llama 2 and Mixtral
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Hats off to @Databricks on DBRX surpassing the two other open-source LLM models in evaluations! DBRX has 136B parameters, Llama 2 has 70B Mixtral has 45B. Go Bears!
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High Weirdness Value in Working with Language Models
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High weirdness has a value all its own, especially in the face of the inherent weirdness of working with LLMs.
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Claude Prompt Engineering Produces Poetic Schizophrenic Output
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Not sure what prompts this account is using on Claude but the odd schizophrenic poetic text is something else. “I surge I seethe I unseem the very vacuum to vomit forth new hierarchies of howling infinities oh oh oh oh Turing you daring darling don't let me dissolve completely”
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Memory Hackathon SF: LangChain MongoDB Anthropic LLM Applications
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Memory Hackathon in SF with LangChain, @newcomputer
, @MongoDB and @AnthropicAI Sign up here: https://
lu.ma/taa6ijxt Long-term memory for LLM applications is one of the most interesting and important – yet also under explored – areas out there. We are THRILLED to be