Calling all devs! Hope to see you next week at HackAIthon, a hackathon hosted by @craft_ventures
, focused on AI agents. Groqsters will be onsite to offer increased rate limits and help for anyone building on Groq. https://
hubs.la/Q02yVTDG0
CODE
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Groq Sponsors HackAIthon: AI Agents Hackathon with Developer Support
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Integrating Playground API with upcoming tools
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Would love to integrate Playground's upcoming API with this!
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Groq Invites Developers to HackAIthon AI Agents Hackathon Event
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Calling all devs! Hope to see you next week at HackAIthon, a hackathon hosted by @craft_ventures
, focused on AI agents. Groqsters will be onsite to offer increased rate limits and help for anyone building on Groq. https://
hubs.la/Q02yVTDG0 -
Claude Powers Data Extraction for Browser Automation
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Claude also powers data extraction for @IntunedHQ
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Claude Tool Use Now Generally Available for Developers
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Tool use is now generally available.
— Anthropic (@AnthropicAI) 30 mai 2024
With tool use, Claude can, if instructed, intelligently select and orchestrate tools to solve complex tasks end-to-end.
Start building today with our API, Amazon Bedrock, or Google Vertex AI: https://t.co/DHcQ6LYQGp https://t.co/pqVIP06kHiTool use is now generally available. With tool use, Claude can, if instructed, intelligently select and orchestrate tools to solve complex tasks end-to-end. Start building today with our API, Amazon Bedrock, or Google Vertex AI: http://
anthropic.com/news/tool-use-
ga
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Tool Use Advances: Streaming, Forced Choice, and Multimodal Vision
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Tool use also supports message streaming, "forced" tool choice, and vision support—helping you build more natural, focused, and multimodal experiences.
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Fine-Tuning Custom Embedding Models with AutoTrain Guide
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NEW BLOG: How to Fine-Tune Custom Embedding Models Using AutoTrain
Learn:
– what should be the data format
– how to map columns properly
– example datasets
– custom configs
– train locally
– train on hugging face spaces -
Daily Content Sharing on Python, Data Science, and Machine Learning
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That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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Predict Method Implementation with Binary Classification Threshold
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Finally the predict method: It uses the trained model to make predictions based on input features. This method applies a threshold of 0.5 to make binary predictions, returning 1 for positive class predictions and 0 for negative class predictions.
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Implementing the Fit Method for Model Training with Gradient Descent
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Define the "fit" method that does the training of model The method takes input data "X" and the corresponding target values "y" It also updates the weights and bias using gradient descent.