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#datascience #machinelearning #timeseries #huggingface #featureengineering #mlops #fintech | Cagri Tanriover
2 views
1 month ago
linkedin.com
What Is Inference? Explaining the Massive New Shift in AI Computing
1 month ago
wsj.com
Definition of inference engine
Jan 14, 2020
pcmag.com
2:36
Machine learning can use causal inference to make sense of data and to improve robustness and generalizability of models. In an on-demand webinar with Amit Sharma and Emre Kiciman, find out how to start with causal inference in your work. Register now: https://aka.ms/AAaj77n | Microsoft Research
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Inference Engineering launches today
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AIYING - Accomplishing with AI
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oMLX is working really well as single machine inference engine for coding agents! Caching is managed perfectly (it can use a ton of disk space, be aware!) and oQ quantization delivers great results. Behind the scenes it uses the standard MLX building blocks (75% created by @Prince_Canuma 🙏):- mlx-lm- mlx-vlm- mlx-embeddings- mlx-audioI tested Qwen3.6-35B-A3B-oQ6 on M5 Max with two pi instances and it was fast and furious and leveraging cache like crazy as you can see in the video. Let me try to
19K views
3 weeks ago
x.com
Ivan Fioravanti ᯅ
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AI Inference Explained, Part 1 Most people think AI happens when a model is trained. That’s wrong. Training is when engineers feed a model trillions of tokens and adjust billions of parameters. That can take weeks, cost $10M–$100M , and happens maybe once a quarter. Inference is the opposite. Inference is when the model is used. Every time you: • type into ChatGPT • ask Alexa a question • get a Netflix recommendation • see fraud blocked on your credit card That is inference. Technically: Inferen
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