Profile Picture
  • All
  • Search
  • Images
  • Videos
    • Shorts
  • Maps
  • News
  • More
    • Shopping
    • Flights
    • Travel
  • Notebook
Report an inappropriate content
Please select one of the options below.
NVIDIA
OpenCL
Ibex
Nemo
Claw
Open Claw
Windows
Co-Pilot
NVIDIA
Nemo Claw
NVIDIA Claw
Call of Duty Lion
GTC
NVIDIA
Open Claw
Ai
Nemo Claw
Ai
What Is
Open Claw
Openclaw NVIDIA
Minimax
Open Claw
Nemo Claw NVIDIA
Open Claw
NVIDIA
H200
Neoclaw
Chatgpt
期權數據
NVIDIA
CEO Nemoclaw
NVIDIA
GTC Nemoclaw
Open Claw
Setup
Open
Law
Marathon First Gameplay Reveal 2023
NVIDIA
GTC
Peter Steinberger
Openclaw Agents
Openclaw Ai
Lion Call of Duty
Openclaw Agent
  • Length
    AllShort (less than 5 minutes)Medium (5-20 minutes)Long (more than 20 minutes)
  • Date
    AllPast 24 hoursPast weekPast monthPast year
  • Resolution
    AllLower than 360p360p or higher480p or higher720p or higher1080p or higher
  • Source
    All
    Dailymotion
    Vimeo
    Metacafe
    Hulu
    VEVO
    Myspace
    MTV
    CBS
    Fox
    CNN
    MSN
  • Price
    AllFreePaid
  • Clear filters
  • SafeSearch:
  • Moderate
    StrictModerate (default)Off
Filter
    NVIDIA
    OpenCL
    Ibex
    Nemo
    Claw
    Open Claw
    Windows
    Co-Pilot
    NVIDIA
    Nemo Claw
    NVIDIA Claw
    Call of Duty Lion
    GTC
    NVIDIA
    Open Claw
    Ai
    Nemo Claw
    Ai
    What Is
    Open Claw
    Openclaw NVIDIA
    Minimax
    Open Claw
    Nemo Claw NVIDIA
    Open Claw
    NVIDIA
    H200
    Neoclaw
    Chatgpt
    期權數據
    NVIDIA
    CEO Nemoclaw
    NVIDIA
    GTC Nemoclaw
    Open Claw
    Setup
    Open
    Law
    Marathon First Gameplay Reveal 2023
    NVIDIA
    GTC
    Peter Steinberger
    Openclaw Agents
    Openclaw Ai
    Lion Call of Duty
    Openclaw Agent
You now convert any LLM into a faster one without retraining from scratch.NVIDIA just did this to their 30B model. Here's the trick:1. Duplicate the model into two copies2. Freeze one copy, it just reads the prompt and remembers context3. Train the other copy to write chunks of text at once instead of one word at a time4. Run them togetherThe frozen copy barely costs anything (it's already trained). The new copy only needed ~8% of the original training data to learn the new trick.Result: 2.4x fa
0:13
You now convert any LLM into a faster one without retraining from scratch.NVIDIA just did this to their 30B model. Here's the trick:1. Duplicate the model into two copies2. Freeze one copy, it just reads the prompt and remembers context3. Train the other copy to write chunks of text at once instead of one word at a time4. Run them togetherThe frozen copy barely costs anything (it's already trained). The new copy only needed ~8% of the original training data to learn the new trick.Result: 2.4x fa
103.4K views1 day ago
x.comLior Alexander
See more
Static thumbnail place holder
More like this
  • Privacy
  • Terms