it might be the broadest model ever!
LLMS
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AI Hallucinations: Confident Wrong Answers from Language Models
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This might be the most accurate illustration of ๐๐ ๐ต๐ฎ๐น๐น๐๐ฐ๐ถ๐ป๐ฎ๐๐ถ๐ผ๐ป Iโve seen in a while. You ask a simple question.
The model answers ๐ฐ๐ผ๐ป๐ณ๐ถ๐ฑ๐ฒ๐ป๐๐น๐.
And thenโฆ reality strongly disagrees. Working with AI every day, I see this pattern often. Large language -

Pretraining Vision and LLMs Foundation Models on AWS
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Pretrain Vision and LLMs (Large Language Models) in Python โ Techniques for Building & Deploying Foundation Models on AWS: http://
amzn.to/3pT9seD v/ @PacktDataML โโโโ
#AI #MachineLearning #MLOps #DataScience #ComputerVision #DataScientist #GenAI -

Mamba 3: State Space Models with RoPE for Improved Sequence Modeling
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mamba 3: Mamba with RoPE! "Improved Sequence Modeling using State Space Principles" They show that state space models can have both speed and performance! In this new iteration, Mamba now has better recurrence design, complex-valued state tracking, and a MIMO update. It
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Poetry for Our AGI Times: Creative Expression and Advanced AI
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https://
garymarcus.substack.com/p/poetry-for-o
ur-agi-times
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5.2 and 6.1 Model Usage Rates Among Users
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tell us about your 5.2 and 6.1 usage! people say this but overall the usage on these models is quite low right now
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Claude vs GPT: Compute Scaling Impact on Model Quality
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On my end, Claude's models usually hold up quite nicely vs GPT's. Curious if the compute scaling gap actually shows in model quality or if it's more about availability and throughput.
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GLM-5 Chinese AI Model: Coding and Writing Quality Assessment
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The Chinese AI model ecosystem is moving so fast. Curious how GLM-5 stacks up for coding or even writing quality!
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Prompt Engineering for v8 Personalization Optimization
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what's the prompt? we did a big survey internally and 100% preferred new persaonlization – maybe you just have to prompt differently in v8
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Agentic Retrieval vs Traditional RAG for Complex Documents
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Traditional RAG retrieves. Agentic retrieval reasons. For complex questions spanning multiple documents, that difference matters. Join us virtually April 2 at 1 PM ET โ register and we'll send the recording if you can't make it live. RSVP: https://
domino.buzz/4lp1Dpg