@toi500 has been so helpful in helping community, check out his repo using Flowise SDK! https://t.co/AuCOiqsQkk
— FlowiseAI (@FlowiseAI) 4 novembre 2024
@toi500 has been so helpful in helping community, check out his repo using Flowise SDK!
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@toi500 has been so helpful in helping community, check out his repo using Flowise SDK! https://t.co/AuCOiqsQkk
— FlowiseAI (@FlowiseAI) 4 novembre 2024
@toi500 has been so helpful in helping community, check out his repo using Flowise SDK!

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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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Fine-tuning Best Practices Series Introduction and Chapter 1: Training Data – OpenPipe https://
bit.ly/4dpABsk
#AI #MachineLearning #DeepLearning #LLMs #DataScience

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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
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xAI's API is live! – try it out @ http://
console.x.ai
* 128k token context * Function calling support
* Custom system prompt support
* Compatible with OpenAI & Anthropic SDKs
* $25/mo in free credits till EOY http://
x.ai/api

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This combo of speed+intelligence makes 3.5 Haiku a particularly good choice for long context tasks where the model needs to quickly ingest lots of info (e.g. a codebase/financial docs/etc) and provide high-quality outputs. Combined with prompt caching… you get the idea.

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3.5 Haiku surpasses all previous Claude models (except the new 3.5 Sonnet) on coding and agentic tasks, while being significantly more affordable — a fraction of the cost of Sonnet and Opus.

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Claude 3.5 Haiku is now available on our API, Amazon Bedrock, and Google Cloud's Vertex AI. Haiku is fast and particularly strong at coding. It outperforms state-of-the-art models—including GPT-4o—on SWE-bench Verified, which measures how models solve real software issues.

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GitHub – jpmorganchase/python-training: Python training for business analysts and traders https://
bit.ly/4dsAAnp
#AI #MachineLearning #DeepLearning #LLMs #DataScience