Multimodal Large Language Models! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Multimodal-LLMs
LLMS
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Multimodal Large Language Models: Key Technologies and Frameworks
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Llama 3-70B Performance: MMLU Benchmarks and GPT-5 Implications
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Llama 3-70B is pretty close to what you would expect. Only GPT-5 (or an unexpected leap from somewhere else) will tell us about the future curve. (And also MMLU is super limited, but it is one of the few yardsticks we have)
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Vapi AI Integrates Llama3 Models on Groq LPUs
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Another update…and now @Vapi_AI has added Llama3 8B and 70B to their AI voice agent service. We love seeing all the momentum from developers trying out this set of models from @aiatmeta running inference on our LPUs. Keep it coming!
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Groq Shares Side-by-Side Video Comparison of Llama3 Performance
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You know we love a good side by side video. This one is A+! Thank you @dr_cintas. Please let us know how you like Llama3 so far… https://t.co/cjFWInV9cC
— Groq Inc (@GroqInc) 21 avril 2024You know we love a good side by side video. This one is A+! Thank you @dr_cintas
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Developers Check Out Llama3 Tutorial by Mervin Praison
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Devs, check out the tutorial @mervinpraison
— Groq Inc (@GroqInc) 21 avril 2024
has made with Llama3 from @AIatMeta https://t.co/LgiwsYC9pADevs, check out the tutorial @mervinpraison has made with Llama3 from @AIatMeta
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Build Serverless AI Chat RAG LangChain.js Azure
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Build a serverless AI chat with RAG using LangChain.js This shows how LangChain.js, Ollama with Mistral 7B model and Azure can be used together to build a serverless chatbot that can answer questions using a RAG pipeline https://
techcommunity.microsoft.com/t5/apps-on-azu
re-blog/build-a-serverless-ai-chat-with-rag-using-langchain-js/ba-p/4111041
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SGML vs XML for Claude: Flexibility in Data Structuring
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I wonder if we should be calling that SGML instead? Very little of what people are doing with Claude would cleanly pass through an XML parser, those things are notoriously inflexible!
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Understanding LLM Hallucinations: Critical Challenge for Reliable AI Tools
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The biggest challenge IMO is helping people understand the hallucination problem and how unreliable these tools are – if you don't understand that it's much harder to put these things to good use
