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Haseeb Qureshi: Doing Good with Your Career
Haseeb Qureshi, notable App Academy graduate, cryptocurrency expert, and philanthropist will be giving a talk on Effective Altruism for App Academy students ...
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Happy 10th year, JCertif!
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
Podcast: Generally AI - Season 2 - Episode 3: Surviving the AI Winter
Roland Meertens and Anthony Alford discuss the historical cycles of AI "summers" and "winters": periods of optimism and decline in AI research. The conversation follows the story of neural networks, to the resurgence of AI with backpropagation and deep learning in the 2010s. They also explore the potential for a future "AI Winter", as technological advances face both hype and skepticism.
By Anthony Alford, Roland MeertensChallenges and Lessons Porting Code from C to Rust
In a two-installment series, Stephen Crane and Khyber Sen, software engineers at Immunant, recount how they ported VideoLAN and FFmpeg AV1 decoder from C to Rust for the Internet Security Research Group (ISRG). The series includes plenty of detail about how they ensured not to break things and optimized performance.
By Sergio De SimoneCopilot Now Available in OneDrive: AI-Powered Features for Streamlined Document Management
Microsoft launched Copilot in OneDrive for commercial users, enhancing the platform with AI-powered tools designed to improve document management and productivity. This new feature set allows users to generate summaries, compare documents, retrieve information, and create content more efficiently, thereby reducing the time spent on manual tasks.
By Robert KrzaczyńskiPresentation: Mind Your Language Models: An Approach to Architecting Intelligent Systems
Nischal HP discusses the intricacies of designing and implementing intelligent systems powered by LLMs, drawing upon practical insights gained from real-world deployments.
By Nischal HPGoogle Publishes LLM Self-Correction Algorithm SCoRe
Researchers at Google DeepMind recently published a paper on Self-Correction via Reinforcement Learning (SCoRe), a technique for improving LLMs' ability to self-correct when solving math or coding problems. Models fine-tuned with SCoRe achieve improved performance on several benchmarks compared to baseline models.
By Anthony Alford
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