The #1 limitation of current AIs is that they only learn before they’re deployed.
RESEARCH
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IndiaAI Summit 2024: Real World Solutions and Advancements
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Join industry experts, researchers, and startups at the "IndiaAI – Real World AI Solutions" session during the Global IndiaAI Summit 2024. This key session will bring together leading stakeholders to explore the challenges and advancements in AI development and deployment through
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Fine-tuning Models and Creating Llama 3 120B Instruct
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My talk at @aiDotEngineer is starting soon! Come to Salon 8 to learn when to fine-tune models and how to create monstrosities like Llama 3 120B Instruct.
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Latent Space Discord Community Continues LLM Paper Clubs During Conference
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Even on @aidotengineer conf days, the @latentspacepod discord managed to keep up its unbroken stream of LLM paper clubs what absolute legends @eugeneyan @picocreator @ivanle @yoeven @honicky @YoungPhlo_ et al
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Benchmarking Lutra_AI: Request for Technical Resources
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Nice! I’d love to benchmark this against @Lutra_AI too— do you have a pointer to run the benchmark?
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GenAI Hallucinations: Why Models Fail Without Information
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3. Hallucinations make GenAI applications unusable Models hallucinate because they are probabilistic. However, a model is much more likely to hallucinate when it doesn’t have access to the right information. Multiple studies have shown that hallucinations can be
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Foundation Models Won’t Completely Replace Classical Machine Learning
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2. Foundation models will completely replace classical ML In my observation, most GenAI applications in production have classical ML components. Outside of leveraging information retrieval, around 30 – 50% of applications have a classification component, such as: – Intent
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Common Misconceptions About Generative AI Technologies Explained
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In many conversations, I noticed several common misperceptions about generative AI. 1. Technologies behind GenAI are new While many applications made possible by GenAI are new, the technologies surrounding it are not. – Retrieval, the backbone of RAG, is also the backbone of
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Open LLM Leaderboard Insights and Model Rankings
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maybe more insights here: https://
huggingface.co/spaces/open-ll
m-leaderboard/blog
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