technology
Hosted by yacine mahdid · technology · EN
a show about untangling the complexity of deep learning and the brain by interviewing smart researchers and builders in the field of intelligence! ideal for scholars, industry practitioners or toddlers. www.yacinemahdid.com
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Contact path
Public web form
Booking probability
36%
Guest openness
Selective
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Signup to Generate a Pitcha show about untangling the complexity of deep learning and the brain by interviewing smart researchers and builders in the field of intelligence! ideal for scholars, industry practitioners or toddlers.
Recent episodes include "How to Generate Synthetic Pretraining Data? with Joël Niklaus from Hugginface" (9 September 2026, 91 minutes), "Pretrained LLMs Are Surrounded by Task Experts feat Yulu Gan from MIT" (12 August 2026, 72 minutes), and "How to Measure Frontier LLM? with Florian Brand from Prime Intellect" (29 July 2026, 115 minutes).
learning with yacine show publishes roughly every two weeks, with episodes averaging 113 minutes across 11 episodes.
Booking probability for learning with yacine show is 36%, and the host is rated Selective on guests. learning with yacine show requires a Pod Score of 80 or higher. learning with yacine show's contact route on record: public web form.
The strongest fits for learning with yacine show are Scientific Research & Development and IT Services & Software Development. learning with yacine show has a technology audience.
learning with yacine show is a technology podcast with 11 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
learning with yacine show
<p>today we are taking a deeper look at of the secret behind LLM pretraining which is synthetic data pipelines with Joel Niklaus machine learning engineer at Hugging Face!joel an his team ran 90 controlled experiments...
learning with yacine show
<p>sometime there is an idea that just makes other weird research results make so much more sense and sort of cascade to explain a whole bunch of phenomenon.</p><p>neural thicket from the great yulu gan is one such...
learning with yacine show
<p>Benchmarking LLM in 2026 is now a high stake task that requires deep expertise on LLM architecture, Prompt Engineering, Harness, Sandbox, Scoring, Hardware, Serving, and more. </p><p>It’s a much different exercise...
learning with yacine show
<p>earlier this year I took two of my friends (ludwig and lazarz) on a big ol' discussion on how to leverage ai for learning purposes in general.</p><p>what I like about these two lad is that they are their own man...
learning with yacine show
<p>auto-research is starting to gain traction as a very viable paradigm for creating useful research discovery.now, that paradigm is still in its infancy and the infrastructure to hold all that trail of context as the...
learning with yacine show
<p>I had an awesome time interviewing @IdanShenfeld and @jonashubotter from MIT and ETH Zurich about self-distillation.</p><p>this very promising post-training paradigm where the model acts as its own teacher by...
learning with yacine show
<p>hey folks first time posting this sort of interview as a podcast (shout out the three anon on twitter that requested it).</p><p>now that I think of it the format does make sense since me and the interviewee are...
Recent guests on learning with yacine show. Study who booked and why before you pitch.
research engineer, ATAI Life Sciences
Director of Analytics, Math Academy
Hugging Face
MIT
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