An IBM Visit: Granite Models, InstructLab and Quantum Computing

Matthew Berman previews a longer discussion of IBM’s small AI models, model customization and quantum research.

MBMatthew BermanAnime · Forward Future
Chaîne
Matthew Berman
Publié
6 nov. 2024
Vidéo
0:35
Lecture
1 min
Original
anglais
Ouvrir sur YouTube
En faisant défiler, la vidéo se réduit en bas à droite et continue. Les sous-titres suivent votre langue de lecture.
Langue de lectureDisponible en 2 langues
Cet article n’est pas encore disponible en français ; il s’affiche dans l’original en anglais.
RÉSUMÉ

En 30 secondes

In a November 2024 short, Matthew Berman says IBM invited him to New York to learn about Granite models, InstructLab and quantum computing. This is a preview of a longer video and provides few technical details.

  1. 1Granite modelsBerman describes small, open-weight models and a visit hosted by IBM.
  2. 2InstructLabHe introduces the tool for adding knowledge; the short does not explain its full training process.
  3. 3Quantum computingHe says the longer video also covers IBM’s quantum computing work.

À retenir

  1. IBM showed Berman its Granite model family during an invited visit.
  2. InstructLab is presented as a way to add knowledge to a model.
  3. The short also previews a discussion of quantum computing and AI.
TEXTE INTÉGRAL

Lire le texte remanié, chapitre par chapitre

Transcription seule
01

A preview of the IBM visit

Berman briefly introduces three subjects covered in a longer video.

IBM invited me to New York to see its work in AI and quantum computing. The company showed me its Granite models, which I describe as small open-weight models that can run on devices, subject to model and hardware requirements.

I also preview InstructLab for adding knowledge to a model and a discussion of IBM’s quantum computing work. The short does not explain the implementation in detail; InstructLab’s workflow can include model training, so it should not be treated as categorically unrelated to fine-tuning. The linked longer video has more context.

Sur la même chaîne

6 diapositives25:50EN
MBMatthew Berman· 24 oct. 2026Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.Open-weight modelsBenchmarksAI cost & performance+1
2 diapositives32:20EN
MBMatthew Berman· 23 oct. 2026Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1
45:08EN
MBMatthew Berman· 21 oct. 2026Sam Altman on AI Discovery, Consciousness, Compute and a Human-Centered FutureMatthew Berman, Sam Altman · Forward FutureIn a conversation with Matthew Berman, Altman discusses scientific progress, personal assistants, recursive self-improvement and the importance of human agency.AI for sciencePersonal agentsConsciousness+2
0:32EN
MBMatthew Berman· 21 oct. 2026Sam Altman on the Continuing Demand for Software WorkSam Altman, Matthew Berman · OpenAIIn a short interview excerpt, Altman says demand for software may be larger than expected even as AI changes how it is made.Future of WorkSoftware engineeringAgents de code
5 diapositives12:14EN
MBMatthew Berman· 14 oct. 2026Gemini 4 Argon Tested: 3D Demos, a Spreadsheet Prototype and Benchmark ResultsMatthew Berman · Forward FutureMatthew Berman tests Google’s model on games and visual projects, then compares reported coding and agent benchmarks.GeminiBenchmarksAgents de code+1
5 diapositives10:36EN
MBMatthew Berman· 13 oct. 2026Meta 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.Modèles et entraînementBenchmarksAI cost & performance+1