3 things to know about Ironwood, our latest TPU
Google’s seventh-gen Tensor Processing Unit is here! Learn what makes Ironwood our most powerful and energy-efficient custom silicon to date.
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5 Free Tools to Experiment with LLMs in Your Browser
Discover five free tools that let you run and test large language models directly in your browser without any setup.
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Cold Specks – Winter Solstice [doom soul] (2012) (FWIW, Cold Specks is a Somali-Canadian)
submitted by /u/DMBFFF [link] [comments]
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Researchers discover a shortcoming that makes LLMs less reliable
Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study. Rather than answering a query based on domain knowledge, an LLM could respond by leveraging grammatical patterns it learned during training. This can cause a model to fail unexpectedly when deployed on new tasks. The researchers found that models can mistakenly link certain sentence patterns to specific topics, so an LLM might give a convincing answer by recognizing familiar phrasing instead of understanding the […]
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ChatGPT: Everything you need to know about the AI-powered chatbot
A timeline of ChatGPT product updates and releases, starting with the latest, which we’ve been updating throughout the year.
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Rev. Dr. Richard Turnbull: Scholar, Teacher, Friend
The Rev. Dr. Richard Turnbull, long-time friend of the Acton Institute, sadly died on November 26, not long after being diagnosed with terminal cancer. Many friends, colleagues, and collaborators joined a Whatsapp group to pray for Richard and his family in his final weeks, and the affection and admiration that so many people had for him was clearly expressed over those weeks. Continue Reading…
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Emergent Introspective Awareness in Large Language Models
An overview, summary, and position of cutting-edge research conducted on the emergent topic of LLM introspection on self internal states
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Charting the future of AI, from safer answers to faster thinking
Adoption of new tools and technologies occurs when users largely perceive them as reliable, accessible, and an improvement over the available methods and workflows for the cost. Five PhD students from the inaugural class of the MIT-IBM Watson AI Lab Summer Program are utilizing state-of-the-art resources, alleviating AI pain points, and creating new features and capabilities to promote AI usefulness and deployment — from learning when to trust a model that predicts another’s accuracy to more effectively reasoning […]
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Prompt Compression for LLM Generation Optimization and Cost Reduction
Large language models (LLMs) are mainly trained to generate text responses to user queries or prompts, with complex reasoning under the hood that not only involves language generation by predicting each next token in the output sequence, but also entails a deep understanding of the linguistic patterns surrounding the user input text.
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Lessons from a Record-Setting NFL Kicker on Performing Under Pressure
Tune out external criticism, focus on process over outcomes, and embrace reflection and routine.
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