Attend our Tech Talk! On Wednesday, June 14th, at 11am PST, we will host a 30-minute tech talk where Cerebras Hardware PM, Nick Della Cioppa, will cover why we built a big chip, how we train 100B+ parameter models on a single system, and more! Register: https://
hubs.li/Q01R_ldM0
LLMS
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Cerebras Tech Talk: Training 100B+ Models on Single System
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Karpathy’s State of GPT Talk Explains How LLMs Work
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As usual, @karpathy
’s talk on the State of GPT is excellent. It’s worth a watch to understand how LLMs work. https://
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Building AI MVPs in weeks with modern development tools
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1/ Six months ago? An MVP AI app took years and $1M ML engineers.
— Replit ⠕ (@Replit) 1 juin 2023
Today? Do it in a week on Replit, shoot to the top of Hacker News, attract famous VCs, and iterate live to thousands of users. Even if you’re a new developer! How? 🧵 pic.twitter.com/CsPWWr8Hg41/ Six months ago? An MVP AI app took years and $1M ML engineers. Today? Do it in a week on Replit, shoot to the top of Hacker News, attract famous VCs, and iterate live to thousands of users. Even if you’re a new developer! How?
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5 ChatGPT prompts to boost intelligence and creativity
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These 5 #ChatGPT prompts will boost your brain → https://youtu.be/ZofS7u4VH2E With them, you will be more intelligent and more creative!
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Brave Search API Integration Exciting for LangChain Users
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I was really excited when I saw the @brave search API announcement the other day Search APIs are one of the more popular/important integrations we have in LangChain, so I'm really excited for this integration
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Aviary: Comparing Open Source AI Models Side by Side
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There have been lots of exciting open source models released recently – almost too many track Aviary by @anyscalecompute (released yesterday) is a fun and easy way to compare many side by side https://
github.com/ray-project/av
iary/
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The Full Story of Large Language Models and RLHF
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The Full Story of Large Language Models and RLHF https://
bit.ly/3IrIAbG #AI #MachineLearning #DeepLearning #LLMs #DataScience -
FuseCap: Enriching Image Captions with Large Language Models
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FuseCap: Leveraging Large Language Models to Fuse Visual Data into Enriched Image Captions propose FuseCap – a novel method for enriching captions with additional visual information, obtained from vision experts, such as object detectors, attribute recognizers, and Optical
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Running Custom AI Models Locally: Technical Implementation
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you mean to run locally on a custom model?
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Google advances ML models for software development automation
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Super exciting work by many at Google to push forward ML models that help with many aspects of the software development process. Not just simple code completion, but fixing compilation errors, suggesting test cases, helping w/ code review comments, and all kinds of other things. https://t.co/qm3br8w343
— Jeff Dean (@JeffDean) 1 juin 2023Super exciting work by many at Google to push forward ML models that help with many aspects of the software development process. Not just simple code completion, but fixing compilation errors, suggesting test cases, helping w/ code review comments, and all kinds of other things.