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3 diapositivas16:06EN
MBMatthew Berman· 18 jun 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 diapositivas9:53EN
MBMatthew Berman· 28 may 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 diapositivas12:50EN
MBMatthew Berman· 22 may 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 modelsEvaluacionesModelos y entrenamiento
1:42:17EN
Cognitive Revolution "How AI Changes Everything"· 20 abr 2024PódcastThe Cheapest Inference Provider Is the Most DangerousPresenta: 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.Infraestructura y despliegueInferenceAI cost & performance+3
3 diapositivas15:01EN
MBMatthew Berman· 19 abr 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 modelsEvaluacionesModelos y entrenamiento+1
3 diapositivas14:23EN
MBMatthew Berman· 31 mar 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 modelsModelos y entrenamientoEvaluaciones+1
4 diapositivas14:11EN
MBMatthew Berman· 23 mar 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 mar 2024Pódcast · 2 vocesIf You Want Human-Level AI, Abandon Generative ModelsInvitado: Yann Lecun · Presenta: 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.Modelos y entrenamientoWorld modelsAGI+3
3 diapositivas23:00EN
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 modelsEvaluacionesModelos y entrenamiento
3:37EN
MBMatthew Berman· 18 ene 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 HistoryInfraestructura y despliegue+1
19:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 11 ene 2024Pódcast · 2 vocesThe World's Only Capped-Profit CompanyPresenta: 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.Empresa y estrategiaAI StrategyCompany Building+3
2:16:27EN
Cognitive Revolution "How AI Changes Everything"· 12 dic 2023PódcastSuperhuman Go Has a Blind Spot. Balaji Bets on a War of the GodsPresenta: 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.Empresa y estrategiaSeguridad y gobernanzaOpen-weight models+3
32:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 nov 2023Pódcast · 2 vocesA 7-billion-parameter model on a MacBook: Mistral's CEO reruns the cost of AIPresenta: 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.Código abierto y comunidadOpen-source ecosystemsOpen-weight models+3
3 diapositivas4:42EN
MBMatthew Berman· 17 oct 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.AgentesOpen-weight modelsInfraestructura y despliegue
1:14:36EN
Cognitive Revolution "How AI Changes Everything"· 13 oct 2023PódcastZulu Bypasses GPT-4, and a Hundred Examples Undo the GuardrailsPresenta: Nathan LabenzNathan Labenz reads seven papers — four hopeful, three not — on whether anyone can actually keep a language model under control.SeguridadAI securitySeguridad y gobernanza+3
1:04:38EN
Lex Fridman· 28 sept 2023Pódcast · 2 vocesHundreds of Miles Apart, Zuckerberg and Fridman Sat Close Enough to See the WrinklesInvitado: Mark Zuckerberg · Presenta: 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 y mediosProduct StrategyHuman-AI Collaboration+3
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 21 sept 2023Pódcast · 2 vocesA Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.Presenta: 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.Agentes de programaciónDeveloper productivityOpen-weight models+3
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 7 sept 2023Pódcast · 2 vocesA Dinner-Plate Chip Cut Training From 60 Days to 3.5Presenta: 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.Infraestructura y despliegueInferenceAI cost & performance+3
52:48EN
Cognitive Revolution "How AI Changes Everything"· 25 ago 2023PódcastOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the ListPresenta: 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.Modelos y entrenamientoAjuste finoAI cost & performance+3
3 diapositivas12:20EN
MBMatthew Berman· 10 jul 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 modelsEvaluacionesModelos y entrenamiento+1
59:28EN
Cognitive Revolution "How AI Changes Everything"· 16 jun 2023PódcastFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced ProductPresenta: Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.Modelos y entrenamientoAjuste finoPretraining & midtraining+3
2:41:58EN
Lex Fridman· 8 jun 2023Pódcast · 2 vocesZuckerberg showed up as Mark Elliott — then argued for many AIs, not oneInvitado: Mark Zuckerberg · Presenta: 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.Empresa y estrategiaOpen-source ecosystemsOpen-weight models+3
2 diapositivas10:40EN
MBMatthew Berman· 7 jun 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 diapositivas11:42EN
MBMatthew Berman· 31 may 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.Ajuste finoQuantizationOpen-weight models+1
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