In finance, getting the correct answer generally involves just waiting a bit.
By then, the answer is correct yet useless.
@ylecun
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Finance timing problem: correct answers arrive too late
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Public and Private Investment in Fundamental AI Research
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They will need public and private investment in fundamental research.
Fundamental research breakthroughs are what enable technology innovations. -
Mistral leads Paris AI boom as open source divides big tech
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Excellent NYT article about parisian AI unicorn Mistral, the effervescent AI ecosystem in Paris, the rapidly increasing strength of the open source AI community, the support of open source AI by Meta, and the opposition to it by Google and OpenAI.
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Evaluating Auto-Regressive LLMs: Testing Bias and Prompt Injection
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Ways to get Auto-Regressive LLMs to produce correct answers almost all the time:
– test on the training set.
– write the answer in the prompt. -
Patrice Simard Microsoft Research Group 2006
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In Patrice Simard's group at Microsoft Research in 2006.
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Open Source AI Models Overtaking Proprietary Solutions
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Open source AI models are on a path to overtake proprietary models.
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AT&T Colleagues at NeurIPS 2002: Machine Learning Pioneers
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Former AT&T colleagues at #NeurIPS 2002:
Front row: Patrick Haffner, Corina Cortes, me, Larry Jackel.
Standing: Chris Burges, Yoshua Bengio, Bernhard Schölkopf, Sara Solla, Isabelle Guyon. -
FPGA ConvNet Implementation for Real-Time Image Recognition
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@clmt demonstrating his FPGA implementation of convolutional networks doing real-time image recognition at #NeurIPS 2010.
Yes, before ConvNets were cool, we had them running on FPGAs. -
Former AT&T AI Researchers Reunite at NeurIPS 2006
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A picture of former AT&T colleagues at #NeurIPS 2006:
Léon Bottou, Dan Lee, Michael Littman, Chris Burges, Patrice Simard, Larry Jackel, and me.