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0:24:30
Defense AI - Opportunities & Challenges 2025, Liran Antebi PhD, Yamit Sade, Ido Michaeli, Elad Dvir
0:24:41
'Weighter': A New Approach for Multiple-Speaker-Identification, Alon Kellner, Data-Scientist
0:28:27
A New Method for Sequential Design of Sensitivity Experiments, Rotem Rozenblum, Flipkart
0:23:48
Training the first intelligence-LLM, Chaked Roger Joseph Sayedoff, CTO of the Innovation Lab
0:26:11
Machine Unlearning: Making AI Forget- Michael Leybovich, Hirundo
0:18:13
Simplifying GenAI with Ollama and Open WebUI- Roni Goldshmidt, Nexar
0:23:46
How to leverage Document AI to simplify people’s financial lives in the GenAI era, Shir Meir, Intuit
0:21:59
No (working) hands! Engineer-less Data- & ML Eng. for pure DS teams- Shay Palachy Affek,Consulting
0:30:31
Challenges and lessons learned from training diffusion models from scrat5ch- Bar Fingerman, BRIA
0:26:27
Sophisticated Controllable Agent for Complex RAG Tasks - Nir Diamant, AI Consultant.
0:33:48
Nazis, Hate, and Gore - Detecting harmful content at scale - Matar Haller, VP Data & AI ActiveFence
0:25:29
Personalizing email suggestions for small businesses in real-time - Omer Sagi, HoneyBook
0:18:28
Challenges & solutions for developing the Text-2-SQL system. Alexander Shereshevsky, Anodot
0:27:06
Navigating LLMOps on AWS from POC to production: Evaluation, Guardrails, model Quotas - Gili Nachum
0:06:43
Liran Hason CEO of Aporia - Keynote
0:27:29
Evaluating Dicta-LM 2.0: Into the process of evaluating generative Hebrew LLMs
0:29:51
Evaluating RAG is Harder than You Think
0:26:36
LLM framework – Enhancing prompts output quality, while shortening their development cycle
0:25:09
Building confidence in AI applications
0:30:35
Building the world first AI sports narrator (Hebrew)
0:21:58
Panel: Diving into the challenges and processes of developing GenAI apps for production (hebrew)
0:27:05
Democratize data and information with text-to-code models (Hebrew)
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