Earthgrid的动态

Did the NVIDIA page just "tell" me in this limerick that expert systems are more useful and precise than LLMs? I agree... There once were AI models so fine, Expert Systems shone with defined design. Unlike LLAMA's broad scope, Their knowledge did cope, With precision, leaving LLMs to re-align. Breakdown of the limerick's argument: "defined design": Expert Systems are built with a specific, well-defined problem domain in mind, allowing for deeper, more precise knowledge integration. "Unlike LLAMA's broad scope": Large Language Models (LLMs) like LLAMA are trained on vast, general datasets, aiming for breadth over depth in any single domain. "Their knowledge did cope": The focused nature of Expert Systems means their knowledge is highly effective within their domain, handling complexities and nuances more adeptly. "With precision, leaving LLMs to re-align": This suggests that while LLMs might need to "re-align" or adjust to understand a specific context deeply, Expert Systems hit the mark with precision from the start, showcasing their "smarter" approach within their domain. https://lnkd.in/g7vM3fsE

NVIDIA just released an open source model that can beat GPT-4o and Claude 3.5 Sonnet???? - NVIDIA released 70B model for commercial use - Links to try it for free: 1. https://lnkd.in/efXiYnGj 2. https://lnkd.in/eAZCRi7d - NVIDIA wants to make the open source models so good that all the for-profits have to order more chips to train increasingly complex models to distinguish their models to justify charging for access - a Reddit user Thanks Rod Askarov for the insightful post! #ai #chatgpt #aitools #openai

I was thinking about trying to implement an improvement to k-means using delaurney triangulation to make neighbors in simulated annealing easier. This model generated a reasonable first pass with just that description and minimally pointed out at SciKit.spacial has a Delaurney Triangulation API. I think this type of stuff is where AI could shine. I think likely I'll have to implement a "circular coloring" of nodes for searching where each boundary node is colored with the current iteration number to check if it was visited (so you don't have to recolor every node after every iteration), but I can focus on the interesting part of the code.

Exciting times in AI0! NVIDIA has just unleashed a powerful 70B parameter model that's open source and poised to challenge the best in the industry. The fact that it's commercially viable and trained on Llama-3.1-70B-Instruct with RLHF makes this a game-changer for developers, researchers, and innovators alike. I can’t wait to explore its capabilities and see how this pushes the boundaries of what’s possible in #generativeAI. Huge kudos to NVIDIA for driving the industry forward. The future is here! #AI #MachineLearning #Innovation #OpenSource #GenerativeAI

NVIDIA just casually dropped 70B model that beats GPT-4o and Claude 3.5 Sonnet — and it's open source. This model was trained on Llama-3.1-70B-Instruct using RLHF (specifically reinforce) and ready for commercial use. Here's where you can try it for free: 1) https://lnkd.in/efXiYnGj 2) https://lnkd.in/eAZCRi7d On Reddit, user /u/thick_llake6990 wrote a great comment on this release: "NVIDIA is in such an envious position. Make the open source models so good that all the for-profits have to order more chips to train increasingly complex models to distinguish their models to justify charging for access, and even if they don't, people still need to buy hardware to run your free model. As long as they stay on top of the custom chips for model performance and invest enough into the neuromorphic chip future, they really can't lose.“ #ai #chatgpt #aitools #openai #aitips #machinelearning

"NVIDIA revolutionizes AI accessibility with a FREE, open-source 70B model outperforming GPT-4o & Claude 3.5 Sonnet! Try it now and experience the future of AI, courtesy of NVIDIA!"

On the next chapter of the AI Battles

NVIDIA just casually dropped 70B model that beats GPT-4o and Claude 3.5 Sonnet — and it's open source. This model was trained on Llama-3.1-70B-Instruct using RLHF (specifically reinforce) and ready for commercial use. Here's where you can try it for free: 1) https://lnkd.in/efXiYnGj 2) https://lnkd.in/eAZCRi7d On Reddit, user /u/thick_llake6990 wrote a great comment on this release: "NVIDIA is in such an envious position. Make the open source models so good that all the for-profits have to order more chips to train increasingly complex models to distinguish their models to justify charging for access, and even if they don't, people still need to buy hardware to run your free model. As long as they stay on top of the custom chips for model performance and invest enough into the neuromorphic chip future, they really can't lose.“ Julie Sweet Laércio Cosentino Martin Migoya Rodolfo Eschenbach Marco Stefanini #ai #chatgpt #aitools #openai #aitips #machinelearning

???? NVIDIA just casually dropped 70B model that beats GPT-4o and Claude 3.5 Sonnet — and it's open source. This model was trained on Llama-3.1-70B-Instruct using RLHF (specifically reinforce) and ready for commercial use. Here's where you can try it for free: 1) https://lnkd.in/gbRUQR2v 2) https://lnkd.in/ghzmJV2Z On Reddit, user /u/thick_llake6990 wrote a great comment on this release: "NVIDIA is in such an envious position. Make the open source models so good that all the for-profits have to order more chips to train increasingly complex models to distinguish their models to justify charging for access, and even if they don't, people still need to buy hardware to run your free model. As long as they stay on top of the custom chips for model performance and invest enough into the neuromorphic chip future, they really can't lose.“ What are your thoughts on this? ?? — ?? #ai #chatgpt #aitools #openai #aitips #machinelearning