Amanda Saunders’ Post

How Organizations Are Using Custom AI to Protect Data and Drive Efficiency Generative AI tools like ChatGPT, Gemini, and Claude represent significant advancements in the everyday use of AI. These general-purpose large language models (LLMs) contain hundreds of billions or even trillions of parameters. Like a public library, they contain vast amounts of information about as many topics as possible, and familiarity with what they offer can empower you to solve difficult problems and improve your performance on a number of tasks. #ChatGPT #GenerativeAI #Gemini #Claude #AI #LLM #LargelanguageModels #RAG #retrievalaugmentedgeneration #AIModels #GPUarchitecture #GPU

Still wrapping your head around AI superchips? 🤔 Navigate the AI landscape with Ivy and let our CTO, Michal Oglodek, be your guide. Check out his latest insights in this article on PYMNTS ➡️ https://hubs.ly/Q02tmK2m0 #AI #Superchip #TechInnovation #Tech #ArtificialIntelligence

Very interesting piece (7-part series) on how Generative AI will shape our data centers and where these workloads will reside. Get ready for a disruption to the norm. What is Generative AI? Generative AI - an AI that produces new output based on inputs and training data. ChatGPT is a very well-known example, along with DALL-E, Stable Diffusion, and many others.

NVIDIA Unveils NVLM 1.0: A Game-Changing Rival to ChatGPT? With ChatGPT dominating the AI conversation, NVIDIA has just introduced NVLM 1.0—its powerful new language model that could redefine the future of AI. Designed for high-performance computing and natural language processing, NVLM 1.0 might just be the competitor that challenges the dominance of ChatGPT. Key Highlights: 1. Optimized to handle complex AI workloads faster and more efficiently 2. Could rival ChatGPT’s capabilities with more robust support for large-scale models 3. Seamlessly integrates into NVIDIA’s AI ecosystem, opening doors for even more advanced applications For those who’ve been using ChatGPT, this new model could be the next big thing in AI development! #NVIDIA #AI #ChatGPT #NVLM #ArtificialIntelligence #TechRivalry #AIInnovation #FutureOfAI #DeepLearning

Nvidia’s New AI Model Crushes OpenAI’s GPT-4 – Is the Game Changing? (2 min read) Nvidia’s Breakthrough AI Model Overtakes GPT-4 Nvidia has made a bold move by releasing its new AI model, Llama-3.1-Nemotron-70B-Instruct, with stunning results. This model outperforms leading AI systems like OpenAI’s GPT-4o and Anthropic’s Claude 3.5 Sonnet, achieving top scores across multiple benchmarks such as Arena Hard and AlpacaEval 2 LC. The release showcases Nvidia's strategic shift from hardware dominance in the GPU market to creating cutting-edge AI software, positioning itself as a serious contender in the language model space. Using advanced training techniques like Reinforcement Learning from Human Feedback (RLHF), Nvidia’s model demonstrates superior performance, offering cost-effective, powerful, and customizable AI solutions for businesses. The Potential Impact on the AI Landscape Nvidia's move to integrate both hardware and software solutions could reshape the competitive dynamics of the AI industry. Llama-3.1-Nemotron-70B-Instruct is accessible through Nvidia’s platform with an OpenAI-compatible API (not yet available to the public like ChatGPT), making it easier for enterprises to deploy. However, Nvidia has warned that this model isn't fully optimized for specific domains like math or legal reasoning, so organizations will need to implement appropriate safeguards. Despite this, Nvidia’s rapid development and release of this model, along with other multimodal systems, challenge the dominance of existing AI leaders and could trigger a new era of faster AI advancements. My Take Nvidia’s strategic expansion into AI software is a game-changer. Pairing its hardware dominance with powerful AI models may push the entire industry to innovate faster, bridging the gap between cutting-edge research and practical business applications. Nvidia’s move could democratize access to advanced AI technology, empowering smaller businesses and researchers to leverage high-performance models without needing massive budgets. #AI #Nvidia #GPT4 #ArtificialIntelligence #MachineLearning #TechInnovation #AITrends #BusinessTransformation #OpenSourceAI Link to article: https://lnkd.in/emaxNtGZ Credit: VentureBeat For more on AI, robots, and Semicon, check out my blog: https://lnkd.in/eWESid86

Red Hat updates OpenShift AI with model registry, data drift detection, bias detection, and LoRA fine-tuning, enhancing AI/ML capabilities https://lnkd.in/gvp93pG6

🚀 Jensen Huang's Bold Prediction: AI Mastery in 5 Years! - Jensen's Vision: Imagine AI outsmarting us in exams within 5 years - a game-changer! - Why It Matters: - More than Tech: Beyond coding, aiming for true human-like understanding and reasoning. - School Days Redefined: Personalized AI tutors, revolutionizing education and testing. - The Hurdles: - Not Just Tech: Overcoming challenges in language understanding and nuanced reasoning. - AGI on the Horizon: - Almost There: Huang hints at the arrival of AGI - where machines mimic our cognitive abilities. - Future Tech: A glimpse into a world where AI feels like one of us. - Ethical Tech: #ResponsibleAI: Advocating for ethical AI development and transparent practices. 🌐 links-[Dive Deeper](https://lnkd.in/g2SyWAyN) #ai #AGIOnHorizon #EducationInnovation #nvidia #AIAdvancements #InnovateWithAI #JensenHuangPredicts

Exciting news! Microsoft Phi-3 model is now available on ai.nvidia.com as a NIM. This powerful new model is perfect for question-answer, chat, logical and mathematical reasoning, and code. Get started today and try it out on ai.nvidia.com! #NVIDIA #Phi3 #AI #SLM #LLM Microsoft NVIDIA

#Nvidia CEO #JensenHuang says fixing #AIHallucinations (where AI makes stuff up) is still years away! 🤯 This highlights the huge challenge of making #AI reliable, even as it's used more and more. Learn more 👇 https://bit.ly/3V8lYTL

Have you seen reports of a new model beating ChatGPT in both performance and accuracy? Yes, the AI arena with open-source LLM models like LLama, Mistral, etc., are trained from scratch using AI accelerators like Nvidia H100 chips with 80GB memory. Moreover, these models are customizable, cost-efficient, transparent, and secure, unlike other private LLMs where you are reliant on their APIs. AI accelerators such as NVIDIA H100, Cerebras, etc., are primarily manufactured to train and run AI models. The total number of parameters required is directly proportional to the hardware resources required to train or run models. Isn’t it interesting? Explore our newest article on “Inside LLAMA: A deep dive into AI accelerators and the influence of Nvidia H100 chips" for more details on Open Source LLMs and AI accelerators. To learn more details of pre-trained LLAMA models, check out pre-trained models at huggingface. It hosts a wide variety of tasks such as text classification, information extraction, question answering, summarization, translation, and more. Aakanksha and I have tried to deep dive into the world of open source LLMs and AI accelerators. We're making it simple to understand how these innovations are shaping our future, so that anyone can understand the world of AI.  Let’s decode the tech together! #LLaMA #Nvidia #H100 #OpenAI #AI  #LLM #AI_accelerators #GPU #TPU