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🎙️SlingTalks drops on Spotify…brought to you by Slingshot! Check us out on https://buff.ly/46s0PHo and join the conversation! We’re discussing the most important topics going through the minds of ML developers everywhere. This week: Why the heck did Meta open source Llama 2? #slingtalks #engineeringinsights #meta #llama2 #machinelearning #artificialintelligence #opensourcemodels
Is the reliance on human-in-the-loop a safeguard or a scapegoat in the age of AI? We question the practicalities of Human-in-the-Loop in real-world use cases— from hiring processes to healthcare diagnostics. Catch the full Slingtalk, with Daniel Reid Cahn & Ayush Kapur here (https://rebrand.ly/qv3bxfc). What are your thoughts? Does human-in-the-loop absolve AI of accountability when things go wrong?
For people programming for machine learning…we’re excited to share our latest podcast episode! Daniel sits down with our talented Machine Learning Intern, Andy Lo (Cambridge) to discuss the world of ML programming and what lies on the horizon. They discuss PyTorch vs. TensorFlow vs. Jax (vs. Mojo vs. Julia); no-code vs low-code vs pro-code for ML engineers; and the world of tooling for ML debugging and development! An episode filled with insights for anyone writing (too much / not enough) ML code. Tune in on Spotify - https://lnkd.in/e3fGh-nP #slingtalks #machinelearning
Our latest #Slingtalk episode explores LLM inference speeds and its impact on how models are deployed and how software is built. Some questions I’m left thinking about: - Is fast model inference the real moat for the biggest LLM companies? - Will “async” flows introduce entirely new software approaches, compared to real-time? - How far away are hardware and software from being edge-inference ready? Watch the full episode on Spotify (https://buff.ly/3ROpIZU)
🎙️SlingTalks drops on Spotify…brought to you by Slingshot! Check us out on https://buff.ly/46s0PHo and join the conversation! We’re discussing the most important topics going through the minds of ML developers everywhere. This week: Why the heck did Meta open source Llama 2? #slingtalks #engineeringinsights #meta #llama2 #machinelearning #artificialintelligence #opensourcemodels
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