FairNow的动态

Gizmodo writes about "Groq" as an AI chip that delivers superfast responses in comparison to other generative AI models. It will be interesting to learn more details and understand if there are important limitations https://lnkd.in/e3JfKR4s. #groq #artificialintelligence #speedup #gizmodo

Exciting news from #Nvidia! They’ve just launched their latest AI model, Llama-3.1-Nemotron-70B-Instruct, which is setting new benchmarks in the field. Utilizing advanced techniques like Reinforcement Learning from Human Feedback, it has outperformed leading models like OpenAI’s GPT-4o and Anthropic’s Claude 3.5 Sonnet in key evaluations. A huge leap forward in AI technology! #AI #Innovation #Nvidia #MachineLearning #chatGPT https://lnkd.in/dVHz76U5

Good summary of how we got here with Ai - https://lnkd.in/gKwAAQNh

Binge watched! ?? Check these super insightful course videos by Google. If you want to dive into AI, keep reading. Understand behind the scenes of AI magic. These videos are crisp and super simple. Introduction to Generative AI - why? what? who? https://lnkd.in/dfC2QUeQ Image Generation - Learn how to train and deploy models to generate images. https://lnkd.in/dXydXJSi Image recognition https://lnkd.in/dfymQjaA Responsible AI or AI principles (Didn’t know something like this exist, lol) https://lnkd.in/dQ9sMVTf Large Language Models https://lnkd.in/d5i7y759 Transformer and BERT Models: https://lnkd.in/dzFa8pcY Attention Mechanism https://lnkd.in/dR93S37e Generative AI Studio https://lnkd.in/dg9gDmQ9 Watch and share P.S. and yeah that’s NVIDIA chad! #nvidia #google #AI #GenerativeAI #LLM #Gemini

The State of AI Report 2024 published by Nathan Benaich ( ?? ) last October has been referenced by almost every VP of AI I have spoken with in the past 2 weeks, as it sheds light on the incredible progress and challenges in artificial intelligence today. Whether you're just beginning to explore AI or are curious about its impact on the world, this report is a great place to start. For those that are curious to see the full report, please reach out! Otherwise, here are five key takeaways that explain the current state of AI in a way that everyone can understand! 1. AI Models Are Getting Better and More Alike: Leading AI tools, like OpenAI’s GPT-4, used to stand far above others, but that gap is shrinking. More companies are now able to build powerful AI systems, which is changing the competitive landscape. 2. AI Companies are Thriving: The business side of AI is booming. Together, AI companies are valued at $9 trillion, and many startups, especially those working on video and audio tools, are making a lot of money. But some worry about whether these companies can keep growing over time. 3. NVIDIA, NVIDIA, NVIDIA: If you’ve ever wondered what makes AI run, it’s advanced computer chips, and NVIDIA is the leader in making them. This company is now worth $3 trillion ?? —making it one of the most valuable in the world. It shows how important the right hardware is for AI progress and many companies are now working towards cheaper and faster GPU's. 4. Balancing Risks and Benefits: AI is incredibly powerful, but with great power comes responsibility ??? . While some early concerns about AI taking over the world have softened, researchers are still working to make sure AI is safe and used for good. They’re identifying risks and putting safeguards in place, however this continues to be a tumultuous space, especially off the back of the news of OpenAI's AGI Readiness team disbanding. 5. Pseudo-Acquisitions: A new trend is emerging among AI startups—pseudo-acquisitions. This signals the growing difficulty of sustaining cutting-edge innovation while running a viable business The report also touches on advances in how AI systems think, plan, and solve problems, as well as how AI is being used in areas like math, biology, and neuroscience. It’s not just about technology anymore, it’s about making AI-powered tools that can solve real problems in the world. From businesses to research labs to governments, everyone is trying to figure out how to harness its potential while staying mindful of the risks. Where do you think the next big breakthrough will be in AI and where should the main focus be? https://lnkd.in/gnGqwwZk

Quantization and #LLMs: Condensing Models to Manageable Sizes - #KDnuggets High costs can make it challenging for small business deployments to train and power an advanced AI. Here is where quantization comes in handy. https://lnkd.in/gedN2SqG

?????????? 3.1 ???????????? ?????? ?????? ?????? ?????????????????? ???? ?????? ???????????? ?????? ??????????????. Try them at ?? https://lnkd.in/gBi-5_Ez ?? https://lnkd.in/gXFZWmqU ?? https://lnkd.in/gn4aAxNF #meta #llama #artificialintelligence #nlp #technology

For anyone who loves disruptive new tools; Groq AI has dropped one that is worth testing out and tracking for yourself! This LLM offers lightening fast generative AI capabilities and is built on what is called LPU* Inference Engine offering lightening speed generative ai outputs. How fast is faster output? Groq AI's output was max speed when put to the test with OpenAI's ChatGPT-4. With ease it won a speed test generating 1000+ word response to a prompt, while ChatGPT-4 was still "thinking". The important take away about LPU technology is not only the processing speed, but it's simplified power usage structure, making it more efficient at energy use than GPU based systems powered by tech like Nvidia. Last bit of good news the DEVs will love; Groq AI is providing general early access to the alpha release version of their API "free of charge" for a limited time for research and development purposes only. *LPU stands for Language Processing Unit?. It's a new type of end-to-end processing unit system that provides the fastest outputs for AI language applications (LLMs), developed by Groq AI. #groqai #LLAMA #chatgpt #chatgpt4 #generativeai #GenerativeAITools #nvidia #Nvidiastock #NvidiaGPU https://lnkd.in/eyHc3srs

Radxa's AICore SG2300x Module Brings 32 TOPS to Bear on Edge AI, On-Device Generative AI https://buff.ly/4aDNMFk

?? Meet NVIDIA's Llama-3.1-Nemotron-70B-Instruct – Redefining Helpfulness in AI! ?? NVIDIA’s latest model, Llama-3.1-Nemotron-70B-Instruct, raises the bar for AI alignment and helpfulness. This powerful model, trained with Reinforcement Learning from Human Feedback (RLHF), is designed to enhance responsiveness to user queries and improve overall alignment with user intentions. Here’s why it’s making waves in the AI world: ? Top Performance Across Benchmarks Ranked #1 on leading automatic alignment benchmarks, Llama-3.1-Nemotron-70B-Instruct surpasses models like GPT-4o and Claude 3.5 Sonnet as of October 1, 2024. With Arena Hard of 85.0 and an MT-Bench score of 8.98, it’s a force in the chatbot space. ?? Human-Like Helpfulness with HelpSteer2 Through NVIDIA’s HelpSteer2 prompts, it’s designed to respond not just accurately but in a way that feels helpful, coherent, and contextually relevant. Perfect for real-world, user-centric interactions! ?? Ready for Experimentation Now available in the Hugging Face Transformers library, you can explore its capabilities for free on build.nvidia.com with an OpenAI-compatible API. Curious to see how it answers? Here’s a taste of its helpfulness – ask, “How many r’s in strawberry?” and see how it simplifies without losing accuracy! ?? For more, check out the full research paper ?? https://lnkd.in/gHaG5Hr2 Visit: https://lnkd.in/efQWJY9Y #llm #ai #llama #nlp #nvidia #llama3 #ai #ml #machinetranslation #huggingface #curiousnerd