What are your first impressions compared to GPT-4?
LLMS
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Gemini 1.5 Handles Political Topics Without Censorship
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Asked Gemini 1.5 to write on the Election to test if it avoids anything politics related (like previous versions). Prompt: "Write a 1,500 word blog on issues with the Electoral College and alternatives" Notable: Not censored on politics (yet) Full output: The Electoral
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Gemini 1.5 Tackles Electoral College Politics Without Censorship
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Asked Gemini 1.5 to write on the Election to test if it avoids anything politics related (like previous versions). Prompt: "Write a 1,500 word blog on issues with the Electoral College and alternatives" Notable: Not censored on politics (yet) Full output: The Electoral
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Enhancing If-Statements Through LLM Prompt Classification With Ollama
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Supercharging If-Statements With Prompt Classification Using Ollama and LangChain Lumos is an LLM co-pilot for browsing the web, powered by local LLMs There are a lot of small architectural decisions made that contain a ton of nuance, and so we're super excited to post
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Entire Harry Potter Book Uploaded and Analyzed in 4 Minutes
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Uploaded entire Harry Potter and the Sorcerer's Stone book (741,028 tokens) Prompt: "List the 50(or 100) most important ideas/passages in the book chronologically. Rate each from 1 to 10 of importance." Notable: Took 4 minutes to answer. Full output: 50 Most Important
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LLM Processes Full Harry Potter Book in 4 Minutes
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Uploaded entire Harry Potter and the Sorcerer's Stone book (741,028 tokens) Prompt: "List the 50(or 100) most important ideas/passages in the book chronologically. Rate each from 1 to 10 of importance." Notable: Took 4 minutes to answer. Full output: 50 Most Important
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PaLM2-VAdapter: Progressive Language Model Vision Adapter
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PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter Xiao et al.: https://
arxiv.org/abs/2402.10896 #ArtificialIntelligence #DeepLearning #MachineLearning -
Gemini 1.5 Pro Answers Community Prompts
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Answering community prompts today with Gemini 1.5 Pro. Comment on the Tweet linked here and I'll try to get your prompt in:
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LLM Inference Optimization at GTC24 Conference
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Join @ControlExpert, @databricks
, and @togethercompute at #GTC24 to explore the power of inference for #LLMs and optimize model serving for large language and #generativeAI models. Register today > https://
nvda.ws/4bBDgiT -
Vector Databases Explained: Key for LLM Data Retrieval
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Vector Databases clearly explained! Vector Databases are really key when it comes to working with LLMs which helps in faster retrieval and process of the data. If you are not sure what exactly it is, here's a detailed introduction. Let's start with Vector Embeddings: