Amazon invests $2.75 billion more in OpenAI rival Anthropic
Amazon has announced it is investing $2.75 billion in OpenAI rival Anthropic, bringing its total investment in the AI startup ...
Amazon has announced it is investing $2.75 billion in OpenAI rival Anthropic, bringing its total investment in the AI startup ...
Amazon Wednesday put another $2.75 billion into Anthropic, bringing its total AI technology investment in the company to $4 ...
Amazon said it would invest $2.75 billion in artificial intelligence (AI) startup Anthropic, adding to the $1.25 billion it ...
Amazon invested a further $2.75 billion in growing AI power Anthropic on Wednesday, following through on the option it left ...
Six months ago, Amazon invested $1.25 billion in Anthropic, making the San Francisco start-up Amazon’s most important A.I.
Amazon said Wednesday it is pouring an additional $2.75 billion into Anthropic, bringing its total investment in the ...
Amazon spends $2.75 billion on AI startup Anthropic in its largest venture investment yet The San Francisco-based startup is ...
I'm new to coding and have been learning so much by building projects with Claude Opus and GPT4, but I always hear people talking about using the API instead of the the main websites. I think this would be beneficial for me so that I can put the entire project into the AI. What is the best way to go about this?
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What are some exciting things that are happening in the #ML #DataScience world that we are not able to hear over the din of LLMs?<p>I notice that Cynthia rudin is continuing to produce great stuff on explainable AI.<p>What else is going on that is not GPT/Diffusion/MultiModal?
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Hello! I'm new to coding and have been learning so much by building projects with Claude Opus and GPT4, but I always hear people talking about using the API instead of the the main websites. I think this would be beneficial for me so that I can put the entire project into the AI. What is the best way to go about this?
// after about 30 seconds of thinking time I came up with this in 30 minutes (w/o being able to execute the code)function compress(str) { const arr =str.split(''); let output = ''; let prev = ''; let count = 1; let next = ''; for (const [i, c] of arr.entries()) { if (typeof arr[i+1] !== 'undefined') { next = arr[i+1]; } if (prev && prev === c) { count++
While using LLMs I realized 2 points:- I often still prefer Google, because I feel like I can get an answer quicker - I'd rather ask a smaller LLM a few questions than gpt-4 just one - The latency of LLMs is often enough to lose your momentum or abort the generationSo I asked myself how I could built the fastest LLM prompt for the CLI? My best guess is to use the fastest language (Rust ) and the fastest LLM (Mixtral powered by https://groq.com)And it's a game changer for me!
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