Move over Gemini, open-source AI has video tricks of its own A team of researchers used a novel approach to training AI models and extended Meta's Llama 2 to achieve similar feats to Google's Gemini. https://
zdnet.com/article/move-o
ver-gemini-open-source-ai-has-video-tricks-of-its-own/
… @GoogleAI @Meta
LLMS
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Open-Source AI Matches Gemini Video Capabilities with Novel Training
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Gemini Outperforms GPT-4 in Deep Learning Explanations
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I asked Gemini and GPT-4 to explain deep learning AI, and Gemini won hands down Google's Gemini does a better job of refining an output when confronted with the question 'why?', while OpenAI's ChatGPT-4 gets stuck. https://
zdnet.com/article/i-aske
d-gemini-and-gpt-4-to-explain-deep-learning-ai-and-gemini-won-hands-down/
… @GoogleAI @OpenAI -
Language Models Approach Human-Level Forecasting Capabilities
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Approaching Human-Level Forecasting with Language Models Halawi et al.: https://
arxiv.org/abs/2402.18563 #ArtificialIntelligence #DeepLearning #MachineLearning -
Five Generative AI Chatbots Everyone Should Know
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Five Generative AI Chatbots Everyone Should Know About#Generative #AI #chatbots have rapidly become indispensable tools across various industries, transforming the way we interact with #technology.https://t.co/rcL8irGQcA pic.twitter.com/hdztYK06vy
— Bernard Marr (@BernardMarr) 4 mars 2024Five Generative AI Chatbots Everyone Should Know About #Generative #AI #chatbots have rapidly become indispensable tools across various industries, transforming the way we interact with #technology. https://
bernardmarr.com/5-generative-a
i-chatbots-everyone-should-know-about/
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Multimodal ArXiv Dataset Improves Vision-Language Model Scientific Comprehension
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Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models Li et al.: https://
arxiv.org/abs/2403.00231 #ArtificialIntelligence #DeepLearning #MachineLearning -
RAG Applications with LLMs: Enterprise Production Challenges
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A common enterprise use of #LLMs is in RAG (Retrieval Augmented Generation) applications on an organization's own custom #KnowledgeBase. They are difficult to put in production. @AbacusAI addresses the key challenges for you. See how in their thread below:
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Anthropic Launches Claude 3 State-of-the-Art Models with LangChain Integration
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New SOTA Model @AnthropicAI just launched their new state-of-the-art Claude 3 models, and you can use them from the `langchain-anthropic` package! Stay tuned for multimodal Create an API key here: https://
console.anthropic.com/settings/keys Python guide: https://
python.langchain.com/docs/integrati
ons/chat/anthropic
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Claude 3 AI Model Outperforms GPT-4 for Code and Math
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#gpt4 #cloud3 I'm super excited to test Claud3. They claim it's much better than GPT-4, especially for code and math. https://
anthropic.com/claude -
Claude Opus vs GPT-4: Comparing LLM Performance Across Tasks
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Sure. But I have been using Claude Opus, and, much like Gemini Advanced did, it clearly exceeds GPT-4 in some areas, but not others. All three are GPT-4 class models.
