Catherine Fang

Thats the exact explanation I gave to a group of investors last week. (… it’s just Precision/Recall, attributes vectorization as “embedding”, K-Nearest Neighbor, User Search Intent, DAG, ML algorithms, etc all over again …). LOL and they asked what’s new this time around. And I was like not much, ML is still the backbone, and AI is the inference and actions based on the model. It works better when there is a feedback loop in a closed system. But the current state of the art like ChatGPT is based on scraping the Internet (garbage in, garbage out). Kinda like early search engines. What is a better analogy is that NVIDIA/Snowflake etc are selling tools, aka pickaxes to prospectors. The gold is up to you to find. And the opportunity right now is to monetize industry specific (healthcare, travel, financial services) clean data to build models with (aka a treasure map for the prospectors). From an enterprise perspective, what’s out there today aka generative AI isn’t very useful. Too much hype. To build useful engines will require an effort similar to search revolution 2 decades ago. From

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Tuesday at the Cannes Lions International Festival of Creativity begins with Razorfish announcing R-Index, a data measurement solution in collaboration with Google Cloud. From Sisi Zhang, Chief Data and Analytics Officer at Razorfish: “What sets R-Index apart is its unique ability to measure brand sentiment and equity among consumers, closing the gap between complexity and clarity for brands and driving more relevance for consumers based on actual needs.” More details here: https://lnkd.in/e_TDWP6j #Cannes2024 #CannesLions #data #consumersentiment #brandperformance

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Scale at ease, Lower cost & Future proof

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Implement super-fast RAG using LlamaIndex Workflows and Groq 🚀 Learn how to build a powerful Retrieval-Augmented Generation system with our Workflows feature, including a comparison to alternatives like LangGraph: ➡️ Create an event-driven architecture for complex AI applications ➡️ Integrate Groq's high-performance LLMs for reranking and response synthesis ➡️ Visualize your workflow for better understanding and debugging Step-by-step guide covers: • Data indexing and retrieval • LLM-based reranking • Response synthesis using CompactAndRefine Read the full tutorial: https://lnkd.in/gRwy4eZ9

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Check out the episode of the AI Files podcast I recently joined to discuss GenAI and how it is being used in M&E and Sports and changing the industry. #AI #AzureAI #OpenAI

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As technologists, we bear the crucial task of steering technology towards ethical usage. I am encouraged by the proactive measures Thorn, along with Amazon and other AI leaders, is implementing to establish safeguards in generative AI. The Safety by Design principles set essential standards to counter risks such as CSAM and AIG-CSAM, ensuring the safety of children. Learn more about these principles here: https://lnkd.in/e6XvQAVz

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I'm thrilled to announce that I've joined the San Francisco CDAO community as Co-Chair and Governing Body member! Being a data practitioner during this AI evolution is exhilarating. Data, the heartbeat of deploying beneficial and responsible AI, is influencing nearly all industries and establishing a successful AI strategy is a journey. It calls for adaptability and a commitment to establishing a strong data foundation. I am excited to share my own experiences and learn from other leaders in the community. Together, we will collaborate on responsible use cases for AI! #AI #Data #ResponsibleAI

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It was great to hear Robert Wong Julie Willem Angie McAllister, Ph.D. and Markus Kunesch on the recent episode of the @Ed-Technical podcast -- the first of a three-part series about how we're applying Google AI to our work in education and learning: https://lnkd.in/e7hQi6a2. This episode delves deep into LearnLM, how we're making Gemini tuned for pedagogy and how we're integrating this technology into our mainstream products to improve learning outcomes, and evolve how people learn on Google products. It explains inspiring new product ideas, and the steps we take across the company to understand and enhance the journey of learning in a responsible and innovative way. #LearnLM #AI #Education #Google

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The future of AI is expected to see rapid advancements in reasoning and inference-time compute, leading to more sophisticated and robust agentic applications, with the potential for multi-agent systems to model complex reasoning and social learning processe https://lnkd.in/e8QQZUTn

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If you're looking for efficient customization with fine-tuned LoRA adapters, get started with ONNX Runtime and MultiLoRA to optimize performance and minimize memory overhead.

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The Common Crawl Foundation is a fundamental underpinning of the current AI frenzy.

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SmartQR is using #AI to reach underserved communities with accessible, affordable, and accurate healthcare. 🩺 Read how they cut 30% in costs and are developing new features 20% more quickly with #GoogleCloudPartner Sela Cloud 👉🏼 https://goo.gle/3CoauoO

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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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The #GenAI bandwidth eating monster can be tamed. Reach out to us at Aryaka to discuss how with Aryaka AI>Perform.

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Stay ahead of the competition with an AI center of excellence. Learn how to gain the right #AI resources, skills, and strategies: https://lnkd.in/eArUqqgd

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Verge article on Replika is a must read for the AI curious. Covers sensitive themes - AI bots as companions and therapists. Good primer for product tradeoffs around privacy, open source vs proprietary LLMs, pricing and profitability in a fast moving space. Eugenia (kudos to female founders) is knowledgeable and inspiring 'That was the mission - to give a little bit of love to everyone out there - because that ultimately creates more kindness and positivity in the world.' Not every product leader in this space is similarly inclined, and not all users can tell the difference. If this tech is going to be integral to our well being, does it need better guardrails? #AI #chatbots #Governance https://lnkd.in/geuCePcx

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