Answer the following questions in Part 1 below in atleast 500 words altogether.
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Answer the following questions in Part 1 below in atleast 500 words altogether.
Answer the following questions in Part 1 below in atleast 500 words altogether.
https://brighthomeworktutors.blog
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Answer the following questions in Part 1 below in atleast 500 words altogether.
Answer the following questions in Part 1 below in atleast 500 words altogether.
https://professionalwriters.blog
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Interesting read on LLM's and how the get fixated on an idea. (in the context of the wrong answer for a multiple choice question) I have definitely experienced this fixation with Claude, where the prompt: "Don't write any React Code in an artifact" results in Claude writing an artifact... in react.
Answering a multiple choice question can be hard. But random guessing is easy, right? Well, not for LLMs.... https://lnkd.in/e26x9_gw
LLMs Play Favorites
medium.com
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Here is an example of what searching could be in the future, A meaningful way to search the web with AI. Groqqle is only the beginning. https://lnkd.in/gHZQvjc2
3 Simple Ways Groqqle 2.0 Can Revolutionize Your Research
https://www.youtube.com/
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pub.towardsai.net: The Infini-Attention paper is discussed in detail in the article on Towards AI. The paper's concepts and insights are explored, providing valuable information for readers interested in this topic.
Infinite Context Window?!
pub.towardsai.net
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Article on RAG. One that is easy to digest.
What Is Retrieval-Augmented Generation aka RAG?
blogs.nvidia.com
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Boost your reading with real-time explanations. Select any text you don't understand, and get instant explanations without leaving the page. https://explaintxt.com/
AI Reading Assistant
explaintxt.com
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Here is a quick video on how I use Bloom ... https://lnkd.in/geSvdNNa
Introduction to Bloom AI 🌸Laith Pahlawan
https://www.loom.com
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Some quick observations from trying out the o1-preview from OpenAI. 1. These new models reduce the need to master prompt engineering will make conversational AI tools more useful for a broader audience 2. The new models reach a "final" good response quicker even though these models take longer to think by avoiding the need for longer conversations 3. The responses sound more convincing, making errors and mistakes in responses harder to identify There are lots of technical innovations and improvements in these models. If you'd like to see a discussion on the importance and challenges with reasoning check this excerpt from a longer podcast with Yann LeCun. https://lnkd.in/gi-6XdFQ
Can LLMs reason? | Yann LeCun and Lex Fridman
https://www.youtube.com/
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