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슬라이드 5장10:36EN
Matthew Berman· 2026년 10월 13일Meta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.모델과 학습BenchmarksAI cost & performance+1
슬라이드0:24EN
Matthew Berman· 2026년 7월 7일Claude Fable 5 Access Extended Through July 12, 2026Matthew Berman · Forward FutureMatthew Berman reports a short extension for paid Claude subscribers, without a reset of their existing usage quota.모델과 학습
슬라이드 5장7:49EN
Matthew Berman· 2025년 12월 2일DeepSeek V3.2: Reasoning, Sparse Attention and Agent TrainingMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s December 2025 model release, its benchmark results and the techniques used to improve long-context efficiency and tool use.Foundation ModelsOpen-weight modelsReasoning & test-time compute+2
슬라이드 2장0:58EN
Matthew Berman· 2025년 9월 26일Microsoft’s Nebius GPU Infrastructure AgreementMatthew Berman · Forward FutureIn a sponsored video, Matthew Berman discusses a 2025 infrastructure agreement and Nebius’s AI services.인프라와 배포AI cost & performance모델과 학습
슬라이드 3장10:28EN
Matthew Berman· 2025년 8월 5일OpenAI’s gpt-oss Models: Open Weights, Benchmarks and SafetyMatthew Berman · Forward FutureMatthew Berman reviews the 120b and 20b models, local deployment claims, selected evaluations and the scope of OpenAI’s safety testing.모델과 학습AI research평가(Evals)+1
슬라이드3:13EN
Matthew Berman· 2025년 8월 5일Claude Opus 4.1: Anthropic’s August 2025 Benchmark UpdateMatthew Berman · Forward FutureMatthew Berman reviews the model’s reported coding, reasoning and tool-use results, including one benchmark that declined.모델과 학습평가(Evals)코딩 에이전트
슬라이드 4장12:14EN
Matthew Berman· 2025년 7월 16일AI News: Windsurf’s Acquisition, Meta Compute Plans, Grok and VoxtralMatthew Berman · Forward FutureA July 2025 roundup examines developer-tool deals, AI infrastructure, model behavior, reward methods and speech recognition.AI research모델과 학습에이전트+1
1:50EN
Matthew Berman· 2025년 1월 30일Five AI Trends Discussed by Coveo’s Sébastien PaquetMatthew Berman · Forward FutureMatthew Berman summarizes a 2025 interview on production systems, smaller models, agents and trust.엔터프라이즈 AI에이전트모델과 학습+1
0:35EN
Matthew Berman· 2024년 11월 6일An IBM Visit: Granite Models, InstructLab and Quantum ComputingMatthew Berman · Forward FutureMatthew Berman previews a longer discussion of IBM’s small AI models, model customization and quantum research.모델과 학습AI research
슬라이드 2장9:15EN
Matthew Berman· 2024년 9월 25일Llama 3.2 Adds Vision and Smaller On-Device ModelsMatthew Berman · Forward FutureIn a Meta-partnered 2024 video, Matthew Berman reviews the model family, its tooling and a brief hosted 1B demonstration.Open-weight modelsMultimodal AILocal inference+1
슬라이드0:54EN
Matthew Berman· 2024년 9월 16일OpenAI’s o1 Preview: A First Look at Longer ReasoningMatthew Berman · Forward FutureMatthew Berman introduces the o1-preview and o1-mini models and tries a Python game prompt.모델과 학습Inference
슬라이드 2장9:43EN
Matthew Berman· 2024년 8월 26일Matthew Berman Tests Jamba 1.5 on Coding and Reasoning PromptsMatthew Berman · Forward FutureA 2024 hands-on test of AI21’s hybrid model finds slow output in one hosted session and mixed answers to a small set of prompts.모델과 학습평가(Evals)
슬라이드 3장13:40EN
Matthew Berman· 2024년 7월 29일Testing Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.Open-weight models평가(Evals)모델과 학습+1
0:58EN
Matthew Berman· 2024년 7월 11일NVIDIA NIM: Containerized AI Inference MicroservicesMatthew Berman · Forward FutureA sponsored overview of NVIDIA’s approach to packaging model inference for local and cloud applications.인프라와 배포모델과 학습
슬라이드 5장13:18EN
Matthew Berman· 2024년 6월 20일Testing Local AI on a Dual RTX 6000 WorkstationMatthew Berman · Forward FutureMatthew Berman tests language models, concurrent inference, and image generation on a Dell Precision tower supplied by Dell and NVIDIA.Local inferenceInference모델과 학습+2
슬라이드 2장12:50EN
Matthew Berman· 2024년 5월 22일Testing Smaug: Hosted 70B Versus a Smaller Local ModelMatthew Berman · Forward FutureMatthew Berman compares two Smaug configurations on Snake, math and reasoning puzzles.Open-weight models평가(Evals)모델과 학습
슬라이드 3장13:37EN
Matthew Berman· 2024년 5월 16일Testing Gemini 1.5 Pro’s Long Context and Video UnderstandingMatthew Berman · Forward FutureMatthew Berman’s 2024 tests show useful image and video summaries alongside blocked code and missed details.Multimodal AIBenchmarks비전과 영상+1
슬라이드 3장14:23EN
Matthew Berman· 2024년 3월 31일Testing 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 models모델과 학습평가(Evals)+1
슬라이드 2장0:42EN
Matthew Berman· 2024년 1월 31일LLaVA 1.6 Adds Higher-Resolution Image UnderstandingMatthew Berman · Forward FutureMatthew Berman reviews the January 2024 release of LLaVA 1.6 and its local availability through Ollama.Multimodal AI모델과 학습Local inference+1
슬라이드 6장12:49EN
Matthew Berman· 2023년 9월 14일Falcon 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 modelsBenchmarks모델과 학습+1
슬라이드 2장6:28EN
Matthew Berman· 2023년 8월 29일A Historical GPT-3.5 Fine-Tuning WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates generating synthetic examples in Colab and training a model to use a distinctive tone.파인튜닝Synthetic data모델과 학습
슬라이드 5장7:09EN
Matthew Berman· 2023년 7월 28일AI News in July 2023: SDXL, Worldcoin, and Biological ComputingMatthew Berman · Forward FutureMatthew Berman reviews a week of AI developments, from Google’s Gemini project and new generative models to biometric identity and experiments with cultured neurons.Generative media모델과 학습Brain-Computer Interfaces+2
슬라이드 2장5:53EN
Matthew Berman· 2023년 7월 18일Petals: Distributing Large Language Model Inference Across DevicesMatthew Berman · Forward FutureIn 2023, Matthew Berman explains Petals as a way to use large models through a network of participating computers rather than loading every layer on one device.Distributed training & inferenceLocal inferenceInference+2
슬라이드 3장12:20EN
Matthew Berman· 2023년 7월 10일Testing 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 models평가(Evals)모델과 학습+1
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