And then we've also seen both the rise of RAG and increasing interest in agents—both of which feed directly back into the potential of Llama 2. Of course there's plenty more that happened, but what I like to cover is not just the news—it's what people are talking about.
GENERATIVE AI
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Meta’s Llama 2 timing strategy reshapes AI landscape
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There's, of course, Llama 2 and its downstream effects. But reviewing everything that happened this month (both in public and in private conversations) it turns out Meta hit the bullseye on timing here.
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MIT Researchers Use LLMs for CAD Design and Manufacturing
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From text to reality: MIT researchers find new ways to use LLMs to help in design & manufacturing.
— MIT CSAIL (@MIT_CSAIL) 28 juillet 2023
These models can convert text prompts to CAD, generate manufacturing instructions, and search for optimal designs: https://t.co/XKCbRMagZ2 pic.twitter.com/fL1PV1h9GdFrom text to reality: MIT researchers find new ways to use LLMs to help in design & manufacturing. These models can convert text prompts to CAD, generate manufacturing instructions, and search for optimal designs: https://
bit.ly/3Ydvq8T -
Meta Publishes Llama 2 Technical Paper for Community Development
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To better enable the community to build on our work — and contribute to the responsible development of LLMs — we've published further details about the architecture, training compute, approach to fine-tuning & more for Llama 2 in a new paper. Full paper https://
bit.ly/44JAELQ -
Cerebras Opentensor Host AMA on BTLM-3B-8K Model
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Reminder that at 10:00 am PT today, Cerebras and Opentensor will host an AMA on our Discord server to talk about BTLM-3B-8K. Come to ask questions, engage in a discussion, or simply enjoy the conversations! Join our Discord here: https://
hubs.li/Q01ZhwD80 -
Techniques for Constructing Prompts Command Model
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Prompts can be as simple as a one-liner, or they can be as complex as multiple layers of specific information. In this article, we look at some techniques for constructing prompts for the Command model. https://
short.cohere.ai/construct?utm_
source=twitter&utm_medium=social
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Llama 2 Coding Limitations Impact on Agentic AI Tasks
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Had an awesome webinar with @RLanceMartin and @jamescalam on Weds around using Llama 2 Llama2 is significantly worse on coding tasks – is that why it's not nearly as good at agentic tasks as GPT models? Up on YouTube now:
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Comparing SDXL Refiner Model Handoff Timing Across Schedulers
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And compare when to hand off to the SDXL refiner model for different schedulers pic.twitter.com/DruFYqnPlB
— Replicate (@replicate) 28 juillet 2023And compare when to hand off to the SDXL refiner model for different schedulers
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SDXL Model Performance Across Different Image Resolutions
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See how SDXL handles all the resolutions pic.twitter.com/TCCx5QGKmc
— Replicate (@replicate) 28 juillet 2023See how SDXL handles all the resolutions
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Explore Different Steps, Schedulers and Guidance Scales
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Try out different steps, schedulers and guidance scales pic.twitter.com/mp6Gb1GcAt
— Replicate (@replicate) 28 juillet 2023Try out different steps, schedulers and guidance scales