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30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 9월 7일팟캐스트 · 2명A Dinner-Plate Chip Cut Training From 60 Days to 3.5진행자 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.인프라와 배포InferenceAI cost & performance+3
슬라이드 3장6:11EN
Matthew Berman· 2023년 8월 31일Running 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 inference코딩 에이전트Open-weight models+1
슬라이드 5장10:20EN
Matthew Berman· 2023년 8월 30일Phind 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 models코딩 에이전트평가(Evals)+2
52:48EN
Cognitive Revolution "How AI Changes Everything"· 2023년 8월 25일팟캐스트OpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the List진행자 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.모델과 학습파인튜닝AI cost & performance+3
슬라이드 2장10:22EN
Matthew Berman· 2023년 8월 4일Matthew Berman on Llama 2, AI Tools, Robots, and the LK-99 ClaimMatthew Berman · Forward FutureA 2023 AI news roundup covers open-weight models, synthetic influencers, tool use and robotics, alongside an early superconductivity claim that later research challenged.Open-weight modelsRoboticsAI agents+2
슬라이드 3장5:34EN
Matthew Berman· 2023년 7월 26일FreeWilly2: A 2023 Prompt Test with Uncertain FormattingMatthew Berman · Forward FutureMatthew Berman retries an instruction-tuned Llama 2 model after a poor first run, finding mixed results and a likely template problem.Open-weight modelsBenchmarks파인튜닝+1
슬라이드 2장4:59EN
Matthew Berman· 2023년 7월 25일Testing Airoboros L2 70B on Coding, Writing and ReasoningMatthew Berman · Forward FutureMatthew Berman runs a small set of prompts against a Llama 2 fine-tune, finding useful structured output alongside failures on code and logic.Open-weight models평가(Evals)모델과 학습+1
슬라이드 4장11:07EN
Matthew Berman· 2023년 7월 24일Installing Llama 2 13B Chat and Testing Its ResponsesMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 local setup and tests a 13-billion-parameter chat model on coding, writing, arithmetic and reasoning. His small set of prompts illustrates both useful outputs and mistakes.Local inferenceOpen-weight models평가(Evals)+2
슬라이드 7장9:40EN
Matthew Berman· 2023년 7월 20일Testing Llama 2 70B on Coding, Writing and ReasoningMatthew Berman · Forward FutureMatthew Berman tries Meta’s 70-billion-parameter chat model through a hosted interface, highlighting both useful outputs and inconsistent reasoning.Open-weight modelsBenchmarks모델과 학습+2
슬라이드 3장9:46EN
Matthew Berman· 2023년 7월 17일Orca Mini V2 vs. OpenOrca: A 2023 Informal Model ComparisonMatthew Berman · Forward FutureMatthew Berman tests two Orca-inspired models on coding, writing and reasoning, with results shaped by prompt setup and subjective scoring.BenchmarksOpen-weight modelsReasoning & test-time compute+2
슬라이드 5장8:04EN
Matthew Berman· 2023년 7월 11일WizardLM 13B v1.1 Tested on Coding, Writing and LogicMatthew Berman · Forward FutureMatthew Berman tries an instruction-tuned model on a small set of prompts, with mixed results and several subjective scoring choices.평가(Evals)Open-weight models모델과 학습+1
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
슬라이드 5장9:33EN
Matthew Berman· 2023년 6월 30일Testing SDXL 0.9: Image Quality, Clipdrop and a Midjourney ComparisonMatthew Berman · Forward FutureIn June 2023, Matthew Berman tries Stability AI’s image model, compares selected prompts with Midjourney and demonstrates Clipdrop’s lighting tool.Generative media비전과 영상Open-weight models+1
슬라이드 6장18:08EN
Matthew Berman· 2023년 6월 29일Six Language Models Compared on an Informal 2023 Prompt SetMatthew Berman · Forward FutureMatthew Berman tests coding, writing and reasoning with H2O GPT, finding a tie under a small and subjective rubric.BenchmarksOpen-weight models모델과 학습+1
슬라이드 5장59:36EN
Matthew Berman· 2023년 6월 27일Pascal Pfeiffer on Retrieval, Open Models, Kaggle and Fine-Tuning with H2O LLM StudioMatthew Berman, Pascal Pfeiffer · Forward FutureIn a 2023 interview, H2O.ai’s Pascal Pfeiffer explains document retrieval and parameter-efficient fine-tuning, reflects on Kaggle competitions and demonstrates LLM Studio. He and Matthew Berman also consider coding assistants and unverified rumors about model architecture.파인튜닝검색 증강 생성(RAG)Open-weight models+2
슬라이드 4장7:21EN
Matthew Berman· 2023년 6월 26일Testing Orca Mini 13B, an Unofficial Model Inspired by OrcaMatthew Berman · Forward FutureMatthew Berman loads a quantized Orca Mini 13B and tries coding, reasoning, arithmetic, and summarization prompts. His 2023 informal test produces several failures and a few successes.Open-weight models평가(Evals)Distillation+2
슬라이드 4장13:50EN
Matthew Berman· 2023년 6월 23일MPT-30B: Running MosaicML’s Model Locally and Testing Its Chat VariantMatthew Berman · Forward FutureMatthew Berman reviews MosaicML’s June 2023 release, demonstrates a local setup, and puts the hosted chat model through an informal prompt rubric.Open-weight modelsLocal inferenceQuantization+2
슬라이드 3장8:17EN
Matthew Berman· 2023년 6월 22일Using OpenLLM to Serve Open Models Through an APIMatthew Berman · Forward FutureMatthew Berman demonstrates a local model server, its interactive API and a Python client in a 2023 walkthrough.Open-weight modelsInference인프라와 배포+1
슬라이드 7장4:36EN
Matthew Berman· 2023년 6월 20일Testing WizardCoder 15B as a Local Coding AssistantMatthew Berman · Forward FutureMatthew Berman runs the 2023 WizardCoder model locally, testing small Python exercises and a longer Snake game.모델과 학습Local inferenceSoftware engineering+2
슬라이드 5장9:46EN
Matthew Berman· 2023년 6월 19일Installing Text Generation WebUI on Windows: A 2023 Local-Model WalkthroughMatthew Berman · Forward FutureMatthew Berman installs an early version of Text Generation WebUI, resolves setup errors and explains model downloads and interface settings. The steps and packages are historical; consult the project’s current documentation for a modern installation.Local inferenceOpen-weight models인프라와 배포+1
59:28EN
Cognitive Revolution "How AI Changes Everything"· 2023년 6월 16일팟캐스트From $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced Product진행자 Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.모델과 학습파인튜닝Pretraining & midtraining+3
슬라이드 4장10:23EN
Matthew Berman· 2023년 6월 15일Testing Hosted Falcon 40B and Document Chat in h2oGPTMatthew Berman · Forward FutureMatthew Berman tries H2O.ai’s 2023 hosted Falcon 40B interface on coding, writing and reasoning prompts, then demonstrates document chat.Open-weight models평가(Evals)AI research+1
슬라이드 5장19:38EN
Matthew Berman· 2023년 6월 9일Orca: Teaching a Smaller Model with GPT-4 ExplanationsMatthew Berman · Forward FutureMatthew Berman reviews Microsoft Research’s 2023 Orca paper and its approach to training a 13-billion-parameter model on detailed teacher responses.Distillation파인튜닝Synthetic data+2
2:41:58EN
Lex Fridman· 2023년 6월 8일팟캐스트 · 2명Zuckerberg showed up as Mark Elliott — then argued for many AIs, not one게스트 Mark Zuckerberg · 진행자 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.기업과 전략Open-source ecosystemsOpen-weight models+3
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