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3 Folien16:06EN
MBMatthew Berman· 18. Juni 2024AI News: Video Generation, Apple Intelligence, Robotics and DeepSeek Coder V2Matthew Berman · Forward FutureMatthew Berman reviews a week of launches and research, from Luma and Runway to NVIDIA, robotics and coding models.Generative mediaRoboticsOpen-weight models+1
4 Folien9:53EN
MBMatthew Berman· 28. Mai 2024Testing Microsoft Phi-3 Medium Locally: Mixed Coding and Reasoning ResultsMatthew Berman · Forward FutureMatthew Berman runs a quantized Phi-3 Medium on a MacBook and explores coding, arithmetic and reasoning prompts.Open-weight modelsLocal inferenceBenchmarks+1
2 Folien12:50EN
MBMatthew Berman· 22. Mai 2024Testing Smaug: Hosted 70B Versus a Smaller Local ModelMatthew Berman · Forward FutureMatthew Berman compares two Smaug configurations on Snake, math and reasoning puzzles.Open-weight modelsEvalsModelle & Training
1:42:17EN
Cognitive Revolution "How AI Changes Everything"· 20. Apr. 2024PodcastThe Cheapest Inference Provider Is the Most DangerousModeration: Nathan LabenzFireworks AI cofounders Lin Qiao and Dmytro Ivchenko explain why subsidized GPU bills vanish, how LoRA serving can cut cost a hundredfold, and why OpenAI is the rival that actually matters.Infrastruktur & DeploymentInferenceAI cost & performance+3
3 Folien15:01EN
MBMatthew Berman· 19. Apr. 2024Testing Llama 3 at Launch: Code, Reasoning and Image GenerationMatthew Berman · Forward FutureMatthew Berman tries Meta AI’s new interface on a snake game, logic puzzles and rapid image generation.Open-weight modelsEvalsModelle & Training+1
3 Folien14:23EN
MBMatthew Berman· 31. März 2024Testing DBRX: Coding Strengths and Reasoning GapsMatthew Berman · Forward FutureMatthew Berman examines Databricks’ open-weight model and puts it through coding, arithmetic and reasoning prompts.Open-weight modelsModelle & TrainingEvals+1
4 Folien14:11EN
MBMatthew Berman· 23. März 2024LM Studio in 2024: Local Models, Parallel Inference and a Local APIMatthew Berman · Forward FutureMatthew Berman demonstrates model downloads, hardware settings, JSON output and serving multiple local models.Open-weight modelsInference
2:47:17EN
Lex Fridman· 7. März 2024Podcast · 2 StimmenIf You Want Human-Level AI, Abandon Generative ModelsGast: Yann Lecun · Moderation: Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.Modelle & TrainingWorld modelsAGI+3
3 Folien23:00EN
MBMatthew Berman· 22. Feb. 2024Testing Google Gemma 7B at Launch: Setup MattersMatthew Berman · Forward FutureMatthew Berman compares local and hosted tests of Google’s early open-weight model.Open-weight modelsEvalsModelle & Training
3:37EN
MBMatthew Berman· 18. Jan. 2024Mark Zuckerberg Announces Llama 3 Training and Meta’s AI PlansMatthew Berman, Mark Zuckerberg · Forward FutureIn January 2024, Matthew Berman reacts to Zuckerberg’s remarks on general intelligence, compute and AI devices.Open-weight modelsAI HistoryInfrastruktur & Deployment+1
19:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 11. Jan. 2024Podcast · 2 StimmenThe World's Only Capped-Profit CompanyModeration: Sarah Guo, Elad GilNo Priors looks back at 2023 through eight conversations on money, intelligence, jobs, and who should put the guardrails on a model.Unternehmen & StrategieAI StrategyCompany Building+3
2:16:27EN
Cognitive Revolution "How AI Changes Everything"· 12. Dez. 2023PodcastSuperhuman Go Has a Blind Spot. Balaji Bets on a War of the GodsModeration: Nathan LabenzBalaji Srinivasan tells Nathan Labenz why adversarial inputs, missing actuators, and cryptography make a single runaway AI god less likely than a contest among many that still need priests.Unternehmen & StrategieSicherheit & GovernanceOpen-weight models+3
32:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 9. Nov. 2023Podcast · 2 StimmenA 7-billion-parameter model on a MacBook: Mistral's CEO reruns the cost of AIModeration: Sarah Guo, Elad GilArthur Mensch tells No Priors why Chinchilla made small models valuable, why open-sourcing Mistral 7B is not a bioweapon risk, and why guardrails belong on the application.Open Source & CommunityOpen-source ecosystemsOpen-weight models+3
3 Folien4:42EN
MBMatthew Berman· 17. Okt. 2023Connecting AutoGen to a Local Model With LM StudioMatthew Berman · Forward FutureMatthew Berman demonstrates an early local-model setup and explains where agent behavior still needs work.AgentenOpen-weight modelsInfrastruktur & Deployment
1:14:36EN
Cognitive Revolution "How AI Changes Everything"· 13. Okt. 2023PodcastZulu Bypasses GPT-4, and a Hundred Examples Undo the GuardrailsModeration: Nathan LabenzNathan Labenz reads seven papers — four hopeful, three not — on whether anyone can actually keep a language model under control.SicherheitAI securitySicherheit & Governance+3
1:04:38EN
Lex Fridman· 28. Sept. 2023Podcast · 2 StimmenHundreds of Miles Apart, Zuckerberg and Fridman Sat Close Enough to See the WrinklesGast: Mark Zuckerberg · Moderation: Lex FridmanLex Fridman sat in a dark room in Austin wearing a Quest headset; Mark Zuckerberg sat in another conference room, also wearing one, and it did not feel like a video call.Multimodal & MedienProduct StrategyHuman-AI Collaboration+3
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 21. Sept. 2023Podcast · 2 StimmenA Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.Moderation: Sarah Guo, Elad GilReplit CEO Amjad Masad on Ghostwriter, why a 3-billion-parameter model was enough, and the agents he wants earning bounties while you sleep.Coding-AgentenDeveloper productivityOpen-weight models+3
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 7. Sept. 2023Podcast · 2 StimmenA Dinner-Plate Chip Cut Training From 60 Days to 3.5Moderation: Sarah Guo, Elad GilCerebras CEO Andrew Feldman tells No Priors why wafer-scale silicon, not another GPU, is the answer to the compute crunch — and why most production models will stay at 13 billion parameters or below.Infrastruktur & DeploymentInferenceAI cost & performance+3
52:48EN
Cognitive Revolution "How AI Changes Everything"· 25. Aug. 2023PodcastOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the ListModeration: Nathan LabenzNathan Labenz and Erik Torenberg walk through GPT-3.5 Turbo fine-tuning, why self-hosting still loses on total cost, and what is actually working in code, school, and medicine.Modelle & TrainingFine-TuningAI cost & performance+3
3 Folien12:20EN
MBMatthew Berman· 10. Juli 2023Testing UltraLM 13B: A Small Model’s Strengths and Reasoning ErrorsMatthew Berman · Forward FutureA 2023 local test finds useful writing and simple coding alongside failures in games, arithmetic and logic.Open-weight modelsEvalsModelle & Training+1
59:28EN
Cognitive Revolution "How AI Changes Everything"· 16. Juni 2023PodcastFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced ProductModeration: Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.Modelle & TrainingFine-TuningPretraining & midtraining+3
2:41:58EN
Lex Fridman· 8. Juni 2023Podcast · 2 StimmenZuckerberg showed up as Mark Elliott — then argued for many AIs, not oneGast: Mark Zuckerberg · Moderation: Lex FridmanOn his second Lex Fridman podcast, the Meta CEO treats a disguised first jiu-jitsu tournament, an open research model called LLaMA, and a future of many agents as the same bet: ship before it is perfect, and do not build a single god model.Unternehmen & StrategieOpen-source ecosystemsOpen-weight models+3
2 Folien10:40EN
MBMatthew Berman· 7. Juni 2023Testing Nous Hermes 13B Locally: Mixed Reasoning and Unsafe ResponsesMatthew Berman · Forward FutureMatthew Berman compares a 2023 quantized model on hosted and local hardware, with uneven results across coding, logic and safety.Open-weight modelsLocal inferenceBenchmarks+1
4 Folien11:42EN
MBMatthew Berman· 31. Mai 2023Guanaco and QLoRA: A 2023 Fine-Tuning and Model TestMatthew Berman · Forward FutureMatthew Berman reviews the QLoRA paper, explains the reported memory savings and tries Guanaco 65B on an informal prompt set.Fine-TuningQuantizationOpen-weight models+1
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