chatbot – Page 3 – Andrew Fairless, Ph.D.

What I Read: Tiny Language Models

By Andrew Fairless on December 11, 2023October 12, 2023

https://www.quantamagazine.org/tiny-language-models-thrive-with-gpt-4-as-a-teacher-20231005/ Tiny Language Models Come of AgeBen Brubaker10/5/23 10:50 AM “To better understand how neural networks learn to simulate writing, researchers trained simpler versions on synthetic children’s stories.”

What I Read: LLM Apps, Data Pipelines

By Andrew Fairless on December 7, 2023November 20, 2023

https://meltano.com/blog/llm-apps-are-mostly-data-pipelines/ LLM Apps Are Mostly Data PipelinesPat NadolnyAugust 22 2023 “While the existing LLM app tools like LangChain and LlamaIndex are useful for building LLM apps… you should heavily considerContinue readingWhat I Read: LLM Apps, Data Pipelines

What I Read: evaluating AI systems

By Andrew Fairless on December 5, 2023October 12, 2023

https://www.anthropic.com/index/evaluating-ai-systems Challenges in evaluating AI systemsOct 4, 2023 “…what many people working inside and outside of AI don’t fully appreciate is how difficult it is to build robust and reliableContinue readingWhat I Read: evaluating AI systems

What I Read: Problems of AI Consciousness

By Andrew Fairless on December 4, 2023October 5, 2023

https://thegradient.pub/an-introduction-to-the-problems-of-ai-consciousness/ An Introduction to the Problems of AI ConsciousnessNick Alonso9/30/23 “This brief introduction is aimed at those working within the AI community who are interested in AI consciousness, but mayContinue readingWhat I Read: Problems of AI Consciousness

What I Read: Privacy side channels in ML

By Andrew Fairless on November 27, 2023October 5, 2023

https://spylab.ai/blog/side-channels-machine-learning/ Privacy side channels in machine learning systemsEdoardo Debenedetti, Florian TramèrSep 12, 2023 “An additional application of our membership inference attack is to test whether specific data sources were partContinue readingWhat I Read: Privacy side channels in ML

What I Read: Optimizing LLM in production

By Andrew Fairless on November 6, 2023October 5, 2023

https://huggingface.co/blog/optimize-llm Optimizing your LLM in productionSeptember 15, 2023Patrick von Platen “…efficient LLM deployment…. pros and cons of adopting lower precision, provide a comprehensive exploration of the latest attention algorithms, andContinue readingWhat I Read: Optimizing LLM in production

What I Read: GPT-4, 8 Models in One

By Andrew Fairless on October 12, 2023September 4, 2023

https://www.kdnuggets.com/2023/08/gpt4-8-models-one-secret.html GPT-4: 8 Models in One; The Secret is OutBy Dr. Mandar Karhade, MD. PhD., Sr. Director Data Strategy and Advanced Analytics at Avalere HealthAugust 24, 2023 “The Mixture ofContinue readingWhat I Read: GPT-4, 8 Models in One

What I Read: LLM research

By Andrew Fairless on October 10, 2023September 4, 2023

https://huyenchip.com//2023/08/16/llm-research-open-challenges.html Open challenges in LLM research8/15/23 8:00 PM “Never before in my life had I seen so many smart people working on the same goal: making LLMs better… I noticedContinue readingWhat I Read: LLM research

What I Read: LLMs in Planning

By Andrew Fairless on September 25, 2023September 4, 2023

https://youtu.be/BmyB-4S9QuYAvenging Polanyi’s Revenge (Exploiting the Approximate Omniscience of LLMs in Planning..)Subbarao KambhampatiAug 1, 2023 “…we have to stop confusing the impressive form of the generated knowledge for correct content, andContinue readingWhat I Read: LLMs in Planning

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