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BREAKING 🚨: Anthropic is working on "Customized Styles" which users can create and apply to their conversations.
— 🚨 AI News | TestingCatalog (@testingcatalog) 5 novembre 2024
Style creation UI also supports file upload where users can upload content examples 🔥 pic.twitter.com/eIHsISWpmE
BREAKING : Anthropic is working on "Customized Styles" which users can create and apply to their conversations. Style creation UI also supports file upload where users can upload content examples
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AI self-improvement is coming. I just had an experience where the model automatically improved it's own prompt. Our AI generates code and prompts automatically — without my prompting, the agent realized that the output of the first run wasn't good enough, so it came up with
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"Why does anyone need incredibly fast inference processing that can generate text faster than anyone can read? It’s because the output of one AI can become the input for another, enabling scalable applications for search, self-correcting summarization, and soon, agentic AI." –
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@GroqInc + @Gradio llama chatbot in 3 lines pip install groq-gradio
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How to Fuel Your #AI Through Curiosity and Collaboration? At #IBMTechXchange, I explored the vital role of collaboration and continuous learning in driving business transformation! Discover how innovations like #Granite Models and #watsonx Code Assistant, along with
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Something we didnt expected and we didnt ask for. "As a result, we've increased pricing for Claude 3.5 Haiku to reflect its increase in intelligence: http://
anthropic.com/claude/haiku."
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An incredible demo at Llamapalooza NYC, Jet!
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The top three winning projects were:
– A robotic arm entirely powered by Claude with vision
– A next gen captcha system where Claude creates the captcha
– An agentic Claude-powered project PRD debater There were also other great projects that made the final round, including one
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After the talks came the mini-hackathon portion of the event. Side note: I think mini-hackathons are the future as you can now build what used to take two days in just a few hours using Claude.
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NEW Tutorial + Notebook: Beat #GPT4o with only 10 Rows of Data Lack of training data is the #1 blocker to fine-tuning a high-quality #SLM. Not anymore! Check out our latest deep dive tutorial to learn how to generate effective #synthetic datasets with only 10 sample data