Back to feeds

this is why open source wins. closed models are only gonna get more restrictive over time.

Meta, formerly Facebook, has unveiled two new open-source AI models called Llama 3 8B and Llama 3 70B, with 8 billion and 70 billion parameters respectively. 🚀 These models outperform some rivals and spark debate over open versus closed source AI de

" Most of the AI tools are just AI wrappers " Under the hood is just : Open AI Chat GPT Claude Gemini Llama Or just any other LLM, What your AI app uses from one of these ?

Mostly used AI APIs these days : - Open AI Grok Claude Gemini Mistral DeepSeek etc..

Hi any body using foundational models (llms) in development if you doing so are you using closed like gpt or Gemini for opensource models if you are using closed source why only that because you can save money by using opensource with low parameter m

Meta has introduced the Llama 3.1 series of large language models (LLMs), featuring a top-tier model with 405 billion parameters, as well as smaller variants with 70 billion and 8 billion parameters. Meta claims that Llama 3.1 matches the performance

Good Morning Everyone 🔆, Do you think that, Elon Musk's Grok Model is going to be big competition for models like GPT-4,Claude Models Sonet/Optus, Google's Gemini Model or Grok is lagging behind the competition? According to me, making a Model publ

The AI problem can't be solved by just making the best AI model, because competitors would learn from it and make an even better one. This keeps pushing AI technology forward. For instance, OpenAI's GPT-4 keeps getting outperformed by other models li

AI Model Performance Benchmarks: 🚀 Comparing Claude, GPT-4o, and Gemini Across Key Tasks with Claude 3.5 Sonnet performing best overall, especially in code (93.7%) and reasoning (65.0%). Gemini 1.5 Pro excels in math (86.5% with 4-shot CoT). GPT-

so many models are dropping everday but claude sonnet3.5 still remains as dev’s first choice. claude really did something right with sonnet3.5