The breadth of impact of LLMs is incredible when you start to dig into all the use cases This great study shows academics see it helping help non-English-speaking researchers to refine their papers' grammar and style Source: @Nature
LLMS
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GPT Models vs ChatGPT Interface: Clearing Common Misconceptions
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"GPT" are machine learning models (transformers). ChatGPT is the interface for interacting with them. There is no such thing as "ChatGPT4". Stop saying that! For further insights about @OpenAI
's products, see the full interview with @OfficialLoganK here: -
Cohere Platform Module 7: Foundation Models and API Overview
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In Module 7: The Cohere Platform you'll get a comprehensive overview of our platform. We cover our serving framework, the types of foundation models available, our API endpoints, and the range of applications which can be built.
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Comprehensive LLM U Curriculum: Master Large Language Model Development
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Our comprehensive curriculum aims to give you a foundation in large language model technology, equipping you with the skills needed to develop your own applications and deploy within your business. The complete 7 modules of LLM U can be found here: https://
docs.cohere.com/docs/llmu -
Cohere Adds Semantic Search Prompt Engineering Modules
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Today, we added 3 new modules to Cohere’s Large Language Model University: Semantic Search, Prompt Engineering, and The Cohere Platform. Read more at this link & in the thread:
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Semantic Search Module: Enhancing LLM-Powered Search Systems
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In Module 5: Semantic Search you'll learn how to enhance the performance of search systems with LLMs, and also how to use search to improve the results of a generative model.
— Cohere (@cohere) 5 octobre 2023
Here’s a preview of the first chapter by @SerranoAcademy: pic.twitter.com/L0mI6gPaFYIn Module 5: Semantic Search you'll learn how to enhance the performance of search systems with LLMs, and also how to use search to improve the results of a generative model. Here’s a preview of the first chapter by @SerranoAcademy
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Hidden Meme Messages and LLMs as Optimizers
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Update #58: Hidden Meme Messages & LLMs as Optimizers https://
bit.ly/44Zi02b
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Beating the Scaling Curve: Research, Engineering, and Leadership
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Pretty rare to see a single talk cover three main areas of AI (research, engineering, and thought leadership), but my colleague @hwchung27 has experience and original takes on all of them. Some notes on my takeaways: (1) To “beat the scaling curve”, always think about how
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Farewell to Kenneth: Celebrating Developer Experience at Stripe
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Congrats, Kenneth! It was awesome teaming up with you to craft great developer experiences at Stripe. Can’t wait to see where your explorations at the intersection of LLMs and developer tools take you!
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Monosemantic Features: More Interpretable Than Neurons
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We also systematically show that the features we find are more interpretable than the neurons, using both a blinded human evaluator and a large language model (autointerpretability). https://
transformer-circuits.pub/2023/monoseman
tic-features/index.html
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