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243 件
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スライド 3 枚7:20EN
Matthew Berman· 2024年1月30日Using Cody and Ollama for Local Code CompletionMatthew Berman · Forward FutureIn a sponsored 2024 tutorial, Matthew Berman sets up Code Llama 7B for Cody autocomplete and demonstrates additional hosted coding features.Developer productivityLocal inferenceOpen-weight models+1
3:37EN
Matthew Berman· 2024年1月18日Mark 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 Historyインフラとデプロイ+1
19:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年1月11日ポッドキャスト · 2 人The World's Only Capped-Profit Companyホスト 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.企業と戦略AI StrategyCompany Building+3
スライド 2 枚35:22EN
Matthew Berman· 2024年1月3日Matthew Berman’s Ten AI Predictions for 2024Matthew Berman, Mark Zuckerberg, Lex Fridman, Jaron Lanier, Joon Park, Elon Musk · Forward FutureAn early-2024 forecast covers model releases, robotics, agents, synthetic data and the risks of increasingly convincing bots.AI researchOpen-weight modelsRobotics+2
スライド 5 枚14:04EN
Matthew Berman· 2023年12月15日Mistral Medium in 2023: API Pricing and Informal Model TestsMatthew Berman · Forward FutureMatthew Berman compares the original Mistral Medium prototype with Mixtral and GPT-4, then tests coding, writing and reasoning through the API.モデルと学習BenchmarksAI cost & performance+2
スライド 8 枚20:49EN
Matthew Berman· 2023年12月12日Mixtral 8x7B: Mixture-of-Experts Architecture, Setup and Early TestsMatthew Berman · Forward FutureMatthew Berman reviews Mistral AI’s December 2023 open-weight model, demonstrates a cloud setup and tests its coding and reasoning responses.モデルと学習Open-weight modelsInference+2
2:16:27EN
Cognitive Revolution "How AI Changes Everything"· 2023年12月12日ポッドキャストSuperhuman Go Has a Blind Spot. Balaji Bets on a War of the Godsホスト 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.企業と戦略安全性とガバナンスOpen-weight models+3
スライド 4 枚7:48EN
Matthew Berman· 2023年11月26日Testing Dolphin 2.2 Yi 34B on Coding and Reasoning TasksMatthew Berman · Forward FutureMatthew Berman runs a quantized Yi fine-tune through informal coding, writing and logic prompts in November 2023, with uneven results.Open-weight modelsFoundation ModelsBenchmarks+2
33:23EN
20VC with Harry Stebbings· 2023年11月24日ポッドキャスト · 11 人AI Leaders Debate Open Models, Pricing and the Future of Searchゲスト Emad Mostaque, Des Traynor, Jeff Seibert, Yann Lecun, Richard Socher, Cris Valenzuela, Douwe Kiela, Tomasz Tunguz, Miles Grimshaw, Christian Lanng · ホスト Harry StebbingsA compilation of separate interviews brings together competing 2023 predictions about model economics, assistants and the largest technology companies.Foundation ModelsOpen-weight modelsAI Strategy+2
スライド 3 枚10:37EN
Matthew Berman· 2023年11月17日Testing DeepSeek Coder on Forms, Bugs and a Snake GameMatthew Berman · Forward FutureMatthew Berman puts the 2023 coding model through a small hands-on rubric, from JSON and unit tests to a playable game.Software engineering開発ワークフローとテストOpen-weight models+1
32:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年11月9日ポッドキャスト · 2 人A 7-billion-parameter model on a MacBook: Mistral's CEO reruns the cost of AIホスト 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.オープンソースとコミュニティOpen-source ecosystemsOpen-weight models+3
スライド 5 枚11:05EN
Matthew Berman· 2023年11月7日Testing Dolphin 2.2, a Mistral 7B Fine-TuneMatthew Berman · Forward FutureMatthew Berman tries a small open-weight model on coding, formatting and reasoning prompts, with mixed results.Open-weight modelsBenchmarksモデルと学習+1
スライド 3 枚6:40EN
Matthew Berman· 2023年10月27日Running MemGPT with an Open-Weight Model on RunPodMatthew Berman · Forward FutureMatthew Berman connects the original MemGPT project to a model served through text-generation-webui, then tests a simple memory interaction. The demonstration uses a remote GPU and historical software versions.Agent memoryLocal inferenceOpen-weight models+1
スライド 4 枚7:02EN
Matthew Berman· 2023年10月18日Connecting AutoGen to a RunPod-Hosted Model with Text Generation WebUIMatthew Berman · Forward FutureIn a 2023 walkthrough, Matthew Berman connects AutoGen to Dolphin 2.1 Mistral 7B through an OpenAI-compatible API and tests a small coding task.エージェント工学Open-weight modelsMulti-agent systems+2
スライド 3 枚4:42EN
Matthew Berman· 2023年10月17日Connecting 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.エージェントOpen-weight modelsインフラとデプロイ
1:14:36EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月13日ポッドキャストZulu Bypasses GPT-4, and a Hundred Examples Undo the Guardrailsホスト Nathan LabenzNathan Labenz reads seven papers — four hopeful, three not — on whether anyone can actually keep a language model under control.セキュリティと安全性AI security安全性とガバナンス+3
スライド 5 枚13:11EN
Matthew Berman· 2023年10月5日Testing Mistral 7B OpenOrca: A 2023 Cloud Setup and Prompt TrialMatthew Berman · Forward FutureMatthew Berman runs a quantized OpenOrca variant on a rented GPU and reviews coding, writing and reasoning examples.Open-weight modelsLocal inferenceBenchmarks+2
スライド 4 枚20:26EN
Matthew Berman· 2023年9月29日AI News in September 2023: ChatGPT Vision, Meta AI and Mistral 7BMatthew Berman · Forward FutureMatthew Berman reviews a busy week of AI launches, robotics demos and investment announcements, along with emerging questions about privacy and security.AI HistoryOpenAIMultimodal AI+2
1:04:38EN
Lex Fridman· 2023年9月28日ポッドキャスト · 2 人Hundreds of Miles Apart, Zuckerberg and Fridman Sat Close Enough to See the Wrinklesゲスト Mark Zuckerberg · ホスト 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.マルチモーダルとメディアProduct StrategyHuman-AI Collaboration+3
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月21日ポッドキャスト · 2 人A Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.ホスト 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.コーディングエージェントDeveloper productivityOpen-weight models+3
スライド 6 枚12:49EN
Matthew Berman· 2023年9月14日Falcon 180B: A 2023 Review of TII’s Open-Weight ModelMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and writing prompts while examining the model’s training scale and license.Open-weight modelsBenchmarksモデルと学習+1
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月7日ポッドキャスト · 2 人A Dinner-Plate Chip Cut Training From 60 Days to 3.5ホスト 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.インフラとデプロイInferenceAI cost & performance+3
スライド 3 枚6:11EN
Matthew Berman· 2023年8月31日Running WizardCoder Locally with Text Generation WebUIMatthew Berman · Forward FutureMatthew Berman walks through a 2023 setup for a quantized Code Llama-based coding model, from the Python environment to a simple test prompt.Local inferenceコーディングエージェントOpen-weight models+1
スライド 5 枚10:20EN
Matthew Berman· 2023年8月30日Phind Code Llama 34B vs GPT-4: A 2023 Python Coding TestMatthew Berman · Forward FutureMatthew Berman compares a quantized Phind fine-tune with GPT-4 on games, short functions and refactoring, with mixed results.Open-weight modelsコーディングエージェント評価(Evals)+2
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