Assaf Yablon

While speaking at the GenAI Summit (GenAIx- Helping you to 10x your company with AI) last week, Rodrigo Liang, CEO and co-founder of SambaNova Systems, spoke with ABC7 News Bay Area, discussing how San Francisco has become the center of the AI boom and what the future of AI looks like.    Rodrigo says the Bay Area's AI innovation is incredible, and it is helping redefine and reshape San Francisco. Check out the full story below.    #AI #SanFrancisco

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Getting started with AI can seem daunting, especially when contemplating its safety against data privacy. But past that fear lies a fix for itself: AI tools can be harnessed to overcome cybersecurity hurdles. Join us for an insightful discussion at the intersection of security, building resilience, and emerging technologies like AI, IoT, and others such as operational technology, and products intersecting with information technology and engineering. Get inspired, learn something new, and connect with peers, partners, and Googlers!

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Hear, first hand, some of the advantages of developing with Spatial SDK, from developers who have been already been building with it. Top mobile devs like L+R, The Electric Factory, and Pixel and Texel, have built amazing MR experiences using Spatial SDK and they share their experience in the video below. With Spatial SDK, mobile devs can now easily jump into building apps for Quest. Learn More -> https://bit.ly/40UwBgY Get Started -> https://lnkd.in/gfsw-fUN #mobiledevelopment #android #kotlin #AppDevelopment #SpatialComputing

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Diyi Yang: Bridging the Gap Between Language & Technology 🤖💬 Have you ever thought about the power of language in our tech-driven world? Diyi Yang, a Stanford Computer Science PhD student, is doing just that! She's exploring how computers can understand and process human language, making technology more accessible and equitable for everyone. Diyi's work is fascinating because it combines her passions for language, technology, and social impact. She's using her skills to: ☑️ Develop new language processing tools ☑️ Improve communication for diverse communities ☑️ Build AI systems that are more inclusive and fair Diyi's insights are critical in our increasingly digital world. We need to ensure technology benefits everyone, regardless of language background. Her work reminds us that the future of AI is about more than just algorithms – it's about understanding and respecting human differences. #language, #computers, #societalimpact, #research, #ai, #artificialintelligence, #nlp, #natural language processing, #technology, #innovation, #future, #ltimindtree, #genai, #generativeai, #aiml, #trends

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Using generative AI, NVIDIA operations built an AI Planner agent, developed on NVIDIA Inference Microservices (NIM). The agent leverages LLM, NeMo Retriever and CuOpt NIM to reduce re-planning time from hours to just seconds. https://nvda.ws/4bIfS2T

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Chinese Tech Giants Make Bold AI Moves in Silicon Valley 🌉 Key Insights for Business Leaders: 🔹 Market Movement 📍 Alibaba, ByteDance, and Meituan expanding California offices 📍 Actively recruiting top talent from US tech companies including OpenAI 📍 Focus on developing cutting-edge generative AI capabilities 🔸 Strategic Implications 🎯 Companies finding workarounds to US chip export restrictions 🎯 Alibaba planning to spin off California AI team into separate startup 🎯 Multiple teams working on various AI applications, from search to LLMs 💡 Business Opportunities ⭐ Growing competition for AI talent between US and Chinese tech sectors ⭐ New opportunities for AI professionals in Silicon Valley ⭐ Emerging focus on AI-powered features like menu translation and AI companions Read more: https://lnkd.in/g5DaMwUR #ArtificialIntelligence #TechIndustry #SiliconValley #BusinessStrategy #Innovation

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I haven’t tried this model fine tune and due to issues with gguf quant fine tune conversion, still working on adjustments. That being said llama3 and mixtral are my go to models. I’m using a context tuned version to 32k. Just not practically to run a 70b parameter local (yet) #llm #llama3 #genai #models

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I am looking forward to presenting at UC Berkeley DataSci 221 Modern Data Applications, on the topic "Working with AI Stakeholders in a Large Enterprise" on Thursday, November 7, 2024. It's an honor to be invited by Joyce J. Shen to engage with students on the unique challenges and opportunities when navigating the intersection of AI and enterprise environments. #AI #EnterpriseAI #UCBerkeley #JPMC

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Last week at Google I/O, Google unveiled their most powerful AI chip yet: the Tensor Processing Unit (TPU) v6, codenamed Trillium. This cutting-edge technology is turning tech-heads everywhere, and here's why: Faster AI Processing: Trillium performs 4.7 times faster than TPU v5. Imagine getting your AI tasks done in a fraction of the time! Double the Efficiency: Trillium doubles the high-bandwidth memory, internal bandwidth, and chip-to-chip interconnect speed. Swoosh, that's fast. Reduced Costs: Trillium's improved energy efficiency (67% better!) translates to lower operating costs for your AI workloads. Bonus technical tip from our AI Infra team: Google Cloud TPUs use a custom bfloat16 numeric format that provides the same dynamic range as a 32-bit IEEE float with reduced precision. This allows TPUs to achieve higher matrix multiplication performance with minimal impact on model accuracy. When using TPUs, be sure to cast your model weights and inputs to bfloat16. At CloudWerx, we're experts in building AI infrastructure at scale, such as training and inference on TPUs, and we're committed to getting at the forefront of cutting-edge tech. If your organization is looking to utilize and capitalize on the price/performance of TPUs, or if you have questions about inputs, reach out to us! We want to talk tech -- what do you think of this news? Let us know in the comments! Read more: Google Announces Sixth-generation AI Chip, a TPU Called Trillium: https://lnkd.in/d8GqVkNy #AIinfrastructure

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That’s why we never ask for business plans, 3-5 year financial projections or similar documents in the early days! Who are the founders, what makes them special and how big is the market, that’s it 👌 Beats any “business plan”, business model canvas, or any of the Strategyzer alternative documents IMHO

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🏁 Bay Area vs. Los Angeles rivalry Exactly 3 years ago we moved to the Bay Area from LA, where I spent most of my life. Since then many have asked me what I feel the differences are. My general breakdown: 👩🏽‍💻 Technology Bay Area > LA - There is no place like the Bay for the sheer quantity and quality of big tech companies, startups, VCs, academic institutions, and talent. LA has Silicon Beach, which focuses mostly on media, entertainment, and consumer tech, while the Bay ecosystem is more diverse and dense. Some claim Silicon Valley has lost its appeal, I’d say the deep-rooted technology ecosystem, going back nearly a century with Bell Labs, HP, Shockley, etc., is not easily replicable. 🌴 Lifestyle Bay Area > LA - As my neighbor accurately put it: “In LA, success is measured by name-brand bags, luxury cars, and big houses. In the Bay, it's by how many exits you've had and the number of boards you're on." Both are ego driven, but I’d take the latter. LA > Bay Area - The cost of living in the Bay is infamously insane. (Cost of living in San Francisco is 23% higher than the state average and 71% higher than the national average. Housing is 187% more expensive than the U.S. average, while utilities are about 42% pricier.) LA > Bay Area - LA takes the crown for its diverse food scene, great restaurants, and affordability. Especially with Asian cuisine, it's hard to compete with the options in the San Gabriel Valley. LA > Bay Area - Style and cultural diversity are stronger in LA. Even though I ❤️ close to 30% of population in the Bay are AAPIs LA > Bay Area - grew up in Purple & Gold Bay Area > LA - Traffic, obvious Bay Area = LA - Weather, which is why we pay the infamous California "weather tax" 👥 People Bay Area > LA - Bay Areafolks are generally much nicer and more courteous than Angelenos. Bay Area > LA - The Bay has the most passionate people I've met when it comes to community involvement, activism, and social/political issues. Ingrained in the DNA and its cultural history. Which city is better? 🤼 “Let me serenade the streets of L.A. From Oakland to Sac-town, the Bay Area and back down Cali is where they put they mack down, give me love!” - Tupac

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What's the Secret to a Successful AI Product Launch ? 💡 Releasing a GenAI product isn't just about innovation and RnD—it's about mastering the essential steps for a seamless enterprise launch. This framework will help you navigate the complexities of a GenAI product release, ROI, ensuring scalability, cost-efficiency, and thorough validation: 🧠 From Concept to Release: 1- GenAI Framework: Start with a solid foundation. 2- Use Case: Identify the core value, use case and business impact 3- Build vs Buy selection criteria. 4- Model Selection Methodology: Choose the right models. 5- Prompt Engineering Framework: Optimize your prompts. 6- Data Retrieval Design: Ensure robust data handling. 7- Validation: Rigorously test and validate. 8- Cost: Keep an eye on your budget. 9- Scale: Plan for scalability. 10- GenAI Product Release: Execute with confidence. By following this framework, you'll not only streamline your process but also maximize the impact of your GenAI products, at the same time skipping any of these can jeopardize your success to justify the ROI and Tech/Resource cost. #data #ai #datastrategy #genai

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