1.4k
The Ultra-Scale Playbook
🌌
The ultimate guide to training LLM on large GPU Clusters
Aniruddha Mukherjee
annimukh
·
AI & ML interests
CNNs, QML
Recent Activity
liked
a Space
4 days ago
nanotron/ultrascale-playbook
liked
a model
11 days ago
ai4bharat/IndicBART
reacted
to
burtenshaw's
post
with 🔥
12 days ago
The Hugging Face agents course is finally out!
👉 https://huggingface.co/agents-course
This first unit of the course sets you up with all the fundamentals to become a pro in agents.
- What's an AI Agent?
- What are LLMs?
- Messages and Special Tokens
- Understanding AI Agents through the Thought-Action-Observation Cycle
- Thought, Internal Reasoning and the Re-Act Approach
- Actions, Enabling the Agent to Engage with Its Environment
- Observe, Integrating Feedback to Reflect and Adapt
Organizations
None yet
annimukh's activity
liked
a
Space
4 days ago
liked
a
model
11 days ago
reacted to
burtenshaw's
post with 🔥
12 days ago
Post
8864
The Hugging Face agents course is finally out!
👉 https://huggingface.co/agents-course
This first unit of the course sets you up with all the fundamentals to become a pro in agents.
- What's an AI Agent?
- What are LLMs?
- Messages and Special Tokens
- Understanding AI Agents through the Thought-Action-Observation Cycle
- Thought, Internal Reasoning and the Re-Act Approach
- Actions, Enabling the Agent to Engage with Its Environment
- Observe, Integrating Feedback to Reflect and Adapt
👉 https://huggingface.co/agents-course
This first unit of the course sets you up with all the fundamentals to become a pro in agents.
- What's an AI Agent?
- What are LLMs?
- Messages and Special Tokens
- Understanding AI Agents through the Thought-Action-Observation Cycle
- Thought, Internal Reasoning and the Re-Act Approach
- Actions, Enabling the Agent to Engage with Its Environment
- Observe, Integrating Feedback to Reflect and Adapt
upvoted
a
paper
7 months ago
liked
a
dataset
9 months ago