lots of people are talking about the backlash against Snapchat's My AI release but failing to read between the lines and realize its a harbinger of what AI companies should come to expect AI has a MASSIVE reputation problem… here's how we can fix it:
AI
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Fast-Trained AI Model Achieves Strong Benchmarks, 7B Model Incoming
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The important piece of info to remember here is that we trained this model in under 10 days. The training was even called internally “YOLO RUN”. We’re excited about these benchmarks but can do even better. We've already started work to train a 7B model.
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Replit Fine-Tuned Model Outperforms Codex with Better Efficiency
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Both models also benchmark impressively well against commercial models. replit-finetuned-v1-3b is by far the smallest model on the table and it outperformed Codex and LLaMA. PaLM-Coder is 200x larger and we’re closing in on their performance with much better latency.
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Code Model Demonstrates Surprising Non-Coding Reasoning Capabilities
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We also noticed a surprising capability in non-coding reasoning, despite the model being trained entirely on code. We benchmarked against models trained for reasoning tasks and replit-code-v1-3b performed incredibly well.
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Replit Open-Sources Complete Code Model 2.7B
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At #ReplitDevDay, we announced we’ve trained and are open-sourcing our first Complete Code model. Introducing replit-code-v1-3b: – 2.7B params
– 20 languages
– 525B tokens
– 40% better than comparable models
– Trained in 10 days Take a look at the benchmarks yourself -
Replit Code Models Outperform Larger Open Source Competitors
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Replit-code-v1-3b & replit-finetuned-v1-3b were trained entirely on code and were meant for single-line code completion. We didn’t expect either to perform so well on HumanEval, but they did. replit-finetuned-v1-3b outperformed all OSS code models, even those 5x its size.
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TL20 Tech Stocks Up 30% YTD, Outperforming Major ETFs
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Year to date, the TL20 group of tech stocks to consider is up nearly thirty percent, topping benchmarks including the iShares Software ETF and the ARK Innovation ETF. Better investing comes from knowing tech companies. https://
thetechnologyletter.com #investing #stocks #technology -
Bad News About Algorithm Restrictions for Teenagers
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I have bad news for you about the “prohibits algorithms for kids 13-17” part
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TF-IDF Fundamentals: Term Frequency and Inverse Document Frequency
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Le TF IDF n'a aucun rapport entre le machine learning et le SEO. Term frequency Inverse document frequency
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REMEDIS: Self-Supervised Learning Framework for Medical Imaging
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Learn about REMEDIS, a unified large-scale self-supervised learning framework for building foundation medical imaging models that shows significant improvement in data-efficient generalization across medical imaging tasks and modalities. Check it out → https://t.co/65GL7hR6k0 pic.twitter.com/OJRgedDd0P
— Google AI (@GoogleAI) 26 avril 2023Learn about REMEDIS, a unified large-scale self-supervised learning framework for building foundation medical imaging models that shows significant improvement in data-efficient generalization across medical imaging tasks and modalities. Check it out → https://
goo.gle/41HmauE