Brittany Fox’s Post

🎉 Big News in the world of AI! NVIDIA is shining a spotlight on Abacus.AI’s groundbreaking LLM, Smaug-72B! This is redefining what open-source AI can achieve. 🎯 Topping the charts, Smaug-72B has achieved an average score of 80 across all major language model evaluations, surpassing even proprietary models like GPT-3.5 and Mistral Medium. The era of open-source AI challenging Big Tech’s capabilities is here! 📈 Under the hood, Smaug-72B leverages cutting-edge techniques that enhance reasoning and math skills, as evidenced by its high GSM8K scores. 🌐 Smaug-72B’s release signifies a shift. No longer confined to secretive tech giants, open-source AI models like Smaug-72B empower a global community of innovators. Exciting times in the world of AI! Read more about Smaug-72B's capabilities in NVIDIA's latest blog post. #AI #OpenSource #AbacusAI #Smaug72B #NVIDIA #LLM #LanguageModels https://lnkd.in/grKWsy8k

🎉 Big News in the world of AI! NVIDIA is shining a spotlight on Abacus.AI’s groundbreaking LLM, Smaug-72B! This is redefining what open-source AI can achieve. 🎯 Topping the charts, Smaug-72B has achieved an average score of 80 across all major language model evaluations, surpassing even proprietary models like GPT-3.5 and Mistral Medium. The era of open-source AI challenging Big Tech’s capabilities is here! 📈 Under the hood, Smaug-72B leverages cutting-edge techniques that enhance reasoning and math skills, as evidenced by its high GSM8K scores. 🌐 Smaug-72B’s release signifies a shift. No longer confined to secretive tech giants, open-source AI models like Smaug-72B empower a global community of innovators. Exciting times in the world of AI! Read more about Smaug-72B's capabilities in NVIDIA's latest blog post. #AI #OpenSource #AbacusAI #Smaug72B #NVIDIA #LLM #LanguageModels

"As we continue to focus our AI research and development on solving increasingly complex problems, one of the most significant and challenging shifts we’ve experienced is the sheer scale of computation required to train large language models (LLMs)." In a recent talk at Systems @Scale, Adi Gangidi, Jenya Lee and KR Kishore discussed GenAI training in production. To dive deeper into their talk, visit their blog post at https://lnkd.in/gibEeTdp the Engineering at Meta blog. To watch their full talk, and visit all of the past @Scale content, visit https://lnkd.in/gsRD8Qnw. #SystemsAtScale

#meta #ai #training at #scale "As we continue to focus our AI research and development on solving increasingly complex problems, one of the most significant and challenging shifts we’ve experienced is the sheer scale of computation required to train large language models (LLMs). Traditionally, our AI model training has involved a training massive number of models that required a comparatively smaller number of GPUs. This was the case for our recommendation models (e.g., our feed and ranking models) that would ingest vast amounts of information to make accurate recommendations that power most of our products."

Nvidia reveals the 'world's most powerful chip' for AI, providing 4X model training performance with 25X lower costs and energy consumption. The platform promises to enable generative AI with large language models of up to several trillion parameters. - Nvidia unveiled its new Blackwell platform, designed to enable generative AI with multi-billion parameter language models. - The new generation of Blackwell is said to deliver four times the training performance, up to 25 times the energy efficiency, and up to 30 times the inference performance of the H100 GPU. - This high inference performance applies to mixture-of-expert models such as GPT-4, while older models such as GPT-3 still run 8 times faster. - The acceleration is made possible by a new generation of the Transformer engine and a new NVLink. 🎥: NVIDIA

🚀 Exciting news in the AI world! Inflection AI Inc. has just introduced Inflection-2, its latest large language model (LLM), set to make waves in the industry. This innovative model is claimed to outperform most major rivals, positioning itself just behind OpenAI's GPT-4 in terms of capabilities. 💡 Founded by Mustafa Suleyman of DeepMind and LinkedIn's Reid Hoffman, Inflection AI has quickly gained momentum with substantial investments, including a notable $1.3 billion from big players like Microsoft and Nvidia. 📈 Inflection-2 is a step up from its predecessor, Inflection-1, showcasing enhanced abilities in text writing, summarization, and code generation. It boasts an upgraded knowledge base for better accuracy and improved reasoning skills, making it a standout in its compute class. 🔍 In benchmark tests against other leading models like Google’s PaLM-2 and Claude-2, Inflection-2 showed impressive performance, especially in areas not explicitly focused on during training, such as code generation. 🌐 The model's training utilized 5,000 of Nvidia's H100 GPUs, showcasing exceptional speed and efficiency. With a vast resource of 22,000 graphics cards, Inflection AI is ambitiously aiming to develop a model 100 times the scale of Inflection-2 within the next year. 🌟 Stay tuned as Inflection AI continues to push the boundaries of AI and large language models! #AI #Innovation #TechNews #InflectionAI #LLM #DigitalTransformation

Nvidia introduces software to enhance AI inference and control LLMs. #AIadvancements 🤝 Follow us on Discord 🔜: https://lnkd.in/gt823Zd3 _ ❇️ Summary: Nvidia has introduced new software to control large language models (LLMs) and enhance artificial intelligence (AI) inference. The software, called the Nvidia Data Center GPU Manager (DCGM), allows users to monitor and manage LLMs to maintain their performance and reliability. With the growing popularity of LLMs in various applications, such as chatbots and language translation, this software will help optimize their utilization and improve AI inference efficiency. Nvidia's DCGM offers a solution to the increasing demands of managing LLMs in AI systems. Hashtags: #chatGPT #NvidiaAIimprovement #LLMsoftware

"The demands for AI are accelerating and GPUs can't handle the speed and the accuracy required. The GPU is becoming the weakest link in the AI economy. We intend to set a new standard for what the AI experience should be, while making it accessible to everyone."–Jonathan Ross, CEO & Founder of Groq Read more about his upcoming Special Competitive Studies Project - SCSP talk: https://groq.link/scsppr