Florin MANAILA @AIdeepdive
Rethinking decades-old computer design towards AI ibm.com Germany Joined August 2010-
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living up to this man’s legacy is a good chunk of what drives me i cried after rewatching this clip recently i hope he’s proud but we have so much more work to do
This is the most important data this year (so far). Most people don't understand the implications. Some of us do.
With DeepSeek-R1 crashing the AI tech stock market very soon, the LLM's intelligence cost will drop to 0 (ZERO).
1/ Can Large Language Models (LLMs) truly reason? Or are they just sophisticated pattern matchers? In our latest preprint, we explore this key question through a large-scale study of both open-source like Llama, Phi, Gemma, and Mistral and leading closed models, including the…
Foundation Models prompts are more than a simple text— they’re programs driving ML models. Every call to a language model carries value and intellectual property. #AI #MachineLearning #LLM
The UK Bans Default Passwords dlvr.it/T6Jnj1
Licensing AI Engineers dlvr.it/T4b50g
Check out this beautiful paper that elucidates how people really iterate upon LLM prompts by analyzing real-world log data in a company. Kudos to Mike Desmond and Michelle Brachman. arxiv.org/abs/2403.08950
A clear and crisp view of the EU AI Act situation in 2023 sidley.com/en/insights/ne…
This is what I worked on while at Microsoft Finally public: theverge.com/2023/11/15/239…
Part 3.2: Why do LLMs need Chain of Thoughts even for basic questions (e.g. was Biden born on an even day)? We show that LLMs cannot efficiently manipulate knowledge even if such knowledge is 100% extractable; + inverse knowledge search is just impossible. arxiv.org/abs/2309.14402
AI systems are fast becoming a basic infrastructure. Historically, basic infrastructure always ends up being open source (think of the software infra of the internet, including Linux, Apache, JavaScript and browser engines, etc) It's the only way to make it reliable, secure, and…
AI systems are fast becoming a basic infrastructure. Historically, basic infrastructure always ends up being open source (think of the software infra of the internet, including Linux, Apache, JavaScript and browser engines, etc) It's the only way to make it reliable, secure, and…
AI-generated books are such a big problem that Amazon limits self-publishing to 3 per day! themessenger.com/news/amazon-li…
While large language models appear to have a rich understanding of the world, how do we know they’re not simply regurgitating from training data? Check out the latest AI Explorable on a phenomenon called grokking to learn more about how models learn. → goo.gle/45ohnQh
Generative AI @IBM stay tuned! #generativemodels #generativeai #nextgeneration #enterpriseai #llms watsonx.ai
LLM customization ecosystem is heating up 🔥 - Remarkable that prompt engineering works at all, but stagnates - Retrieval can help few-shot prompts, but still... - Finetuning (BC/RL) is the cannon. But is much more involved Congrats @realSharonZhou & @GregoryDiamos on the launch!
LLM customization ecosystem is heating up 🔥 - Remarkable that prompt engineering works at all, but stagnates - Retrieval can help few-shot prompts, but still... - Finetuning (BC/RL) is the cannon. But is much more involved Congrats @realSharonZhou & @GregoryDiamos on the launch!
According to Gartner, by 2024, 60% of the data used for the development of AI and analytics projects will be synthetically generated. We completed another project in IBM Client Engineering where we successfully used synt…lnkd.in/eqQqgVby lnkd.in/eaYwRDrU
Generative AI has taken the world by storm. However, in using Large Language Models everything today is about prompt engineering - human to machine. Do you know what will be next? Prompt engineering - machine to a human? like a personal tutor or what? Tha…lnkd.in/ejvZaeGg
The global generative AI market is expected to be valued at $8B by 2030. Learn how responsibly deployed AI technologies like #ChatGPT can help deliver more intelligent operations to business leaders: ibm.co/3yroqsS

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