The life sciences industry is racing to unlock its scientific data and harness Scientific AI. The problem: It's blocked by millions of silos of unstructured and vendor-specific proprietary formats. Alan Millar, our VP of Partnerships, spoke at the #DataAISummit about how TetraScience and Databricks have joined forces to solve the life sciences' data challenges and accelerate the Scientific AI revolution. Have a conversation with our team to discuss your Scientific AI use cases and learn more: https://lnkd.in/ex5KViXF #ScientificAI #ScientificData
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Anthropic recently released Claude 3, a new family of gen AI foundation models. Claude 3 Sonnet is now available on Amazon Bedrock. We at Storm Reply are already exploring Sonnet for our gen AI solutions. The Claude 3 models set a new standard for intelligence with strong vision capabilities, improved accuracy, and longer context. Claude 3 has three models: Opus (most intelligent), Sonnet (balanced between intelligence and speed), and Haiku (fastest and most cost-effective). Feel free to follow us for more on gen AI and data strategy. #GenAI #FoundationModels Image source: Anthropic
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💡Did you know? AI edition: Data access, compliance, and dirty data are roadblocks hindering the construction of high-quality life science datasets. Discover how overcoming these challenges can unlock the true power of AI in the life science industry. Read more in the latest from Within3 expert, CTO Jason Smith: https://hubs.la/Q01ZNFBT0
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Software Development Engineer, ML Engineer & Solution Architect | Worked with several SMBs to upgrade their End-to-End application architectures to enterprise level to optimize cost & avoid data compromise.
This interview is highly insightful. 💡
Ilya on LLMs understanding the world: "predicting the next token well, means that you understand the underlying reality that let to the creation of that token" Seem like the opposite view of Yann. ↓ Are you technical? Check out https://AlphaSignal.ai to get a weekly summary of the latest models, repos and papers in AI. Read by 150,000 engineers and researchers.
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In my recent exploration of #Langchain, I discovered an amazing platform that stands out in the AI landscape: #HuggingFace. What makes Hugging Face particularly impressive is its collaborative environment. By enabling users to share and utilize community-driven models and datasets, it accelerates innovation and knowledge sharing within the AI community. Quick Insights: It has over 750K models and 150K datasets! https://huggingface.co/
Hugging Face – The AI community building the future.
huggingface.co
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Ilya on LLMs understanding the world: "predicting the next token well, means that you understand the underlying reality that let to the creation of that token" Seem like the opposite view of Yann. ↓ Are you technical? Check out https://AlphaSignal.ai to get a weekly summary of the latest models, repos and papers in AI. Read by 150,000 engineers and researchers.
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According to Helmholz the brain is basically a prediction machine. This is a similarity to a LLM which predicts the next token in a text. The large difference is that a LLM has very limited interaction with the world, no online learning, no dynanic long term menory and lacks a well structured world model, a prerequisite for many step complex reasoning and abstract thinking. Next generation AI needs to address those limitations.
Ilya on LLMs understanding the world: "predicting the next token well, means that you understand the underlying reality that let to the creation of that token" Seem like the opposite view of Yann. ↓ Are you technical? Check out https://AlphaSignal.ai to get a weekly summary of the latest models, repos and papers in AI. Read by 150,000 engineers and researchers.
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Dive into the future of search with Okapi BM25! Discover how this powerful ranking algorithm boosts search result relevance in AI-driven systems, transforming data accessibility. Essential for developers and data scientists, our guide unpacks Okapi BM25's intricacies, benefits, and applications within generative AI. Explore the next frontier of information retrieval today! Read the full article here: https://lnkd.in/g72g-8GE #generativeai
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Helping Commercial orgs adopt real-world digital transformation, improving the experience for their end customers and optimising services by adopting a user-centric approach, new technologies & challenging BAU process
As the pace of innovation continues to soar, Generative AI and other foundation models are set to change the world - taking assistive technology to a new level. With huge opportunities and implications for businesses, Suzanne Iris Brink, PhD (Data Ethicist) and Steve Ellwood-Thompson (Head of Technology: Data and AI) explore the potential of generative AI in our latest blog. Read here: https://okt.to/j8ThJD
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NEW EPISODE: I welcome Thomas Wolf, co-founder of Hugging Face, a company that has become a (the) central part of the generative AI ecosystem. In this episode, we explore whether open-source (“OS”) AI has a real chance to take over the space, the role of data and infrastructure in scaling dynamics, how big tech companies are positioning themselves in the ecosystem, and overall, the power laws that undermine the growth of the ecosystem. I hope you enjoy the conversation. ➝ https://lnkd.in/eCCZKgFt ➝ https://spoti.fi/49zlhr3 ➝ https://apple.co/3xBZuSk #scalingtheory #complexityscience #complexitytheory
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Registration is now open for the 2024 Marigold Library System Conference! Our keynote speaker this year is Nick Tanzi who will be presenting on "New Landscapes: How Libraries Will Find Their Way in the Age of AI." More information can be found at marigoldconference.ca #MLSC2024
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