Join us for a FREE talk by PhD student Dyah Adila on "Unlocking Foundation Model Potential: Zero-Shot Methods for Improved Embeddings." Noon PST Friday, April 5. Learn how to boost model performance without fine-tuning! https://
snorkel.ai/event/better-f
m-performance-sans-fine-tuning-research-talk-with-dyah-adila/
… #AI #foundationmodels
LLMS
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Zero-Shot Methods Boost Foundation Model Embeddings Performance
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Memory Hackathon: Long-term Memory for LLM Applications
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Memory Hackathon with LangChain, http://
new.computer, MongoDB and Anthropic 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 -
Few-Shot Learning: Logging, Feedback, and Self-Learning GPTs
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Great example of the importance of few shot examples How do you get these examples? One way is to have a proper logging + feedback collection service set up You can even automate the "feedback" -> "few shot example" loop – see "self learning GPTs" https://
youtube.com/watch?v=OnQQeW
Ewzyw
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Claude Opus 10-shot: Expensive and Slow Trade-offs
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Haha thanks! And yeah 10-shot Opus is ridiculous, but expensive and slow
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Comparing AI Solutions: Cost, Speed, and Quality Trade-offs
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I don’t — if I did that, costs and latency would be through the roof. I’m more comparing these on a cost, speed, quality basis.
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AI Reasoning Capabilities Exceed Expectations in Testing
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I’ve even found this to be true on reasoning tasks, which is shocking
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Few-Shot Prompting Technique Boosts Claude 3 Haiku Performance
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Highest alpha secret in AI right now: If you provide ~10 examples to Claude 3 Haiku… it’ll often outperform Claude 3 Opus, and far outperform GPT-4 at a fraction of the cost, with blazing fast speeds
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Claude 3 outperforms GPT-4 at Elvish translation
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I am not sure this is useful, but Claude 3 is much better at Elvish (both Sindarian & Quenya) than ChatGPT, though they can sort of communicate with each other. When asked to translate "My hovercraft is full of eels" Claude 3 does an original translation, GPT-4 searches the web.
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Free Course: Building Production LLM Applications
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Building Real-World Applications with Large Language Models! A Free course that teaches you everything you need to build real-world, production applications with large language models. It also covers essential topics such as experiment management and model versioning,
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Transformers Architecture Emergence in 2017 AI Timeline
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transformers came out in 2017, just as i was coming onto the scene (maybe slightly before)