Taylor658/Electrohydrodynamics
Updated
atayloraerospace
Taylor658
AI & ML interests
Multimodal Gen AI ๐ค | Agentic AI ๐ง ๐ค | Computer Vision ๐ญ | AI in Healthcare ๐ฉบ | AI in Aerospace ๐
Recent Activity
new activity
2 days ago
Taylor658/Electrohydrodynamics:Update README.md
updated
a model
2 days ago
Taylor658/Electrohydrodynamics
new activity
2 days ago
Taylor658/SiN-photonic-waveguide-loss-efficiency:Update README.md
Organizations
Taylor658's activity
Update README.md
#5 opened 2 days ago
by
Taylor658
updated
a
model
2 days ago
Update README.md
#7 opened 2 days ago
by
Taylor658
updated
a
dataset
2 days ago
Update README.md
#5 opened 3 days ago
by
Taylor658
reacted to
burtenshaw's
post with ๐
3 days ago
Post
22716
Weโre launching a FREE and CERTIFIED course on Agents!
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
- 22 replies
reacted to
m-ric's
post with ๐
3 days ago
Post
2147
๐ช๐ฒ'๐๐ฒ ๐ท๐๐๐ ๐ฟ๐ฒ๐น๐ฒ๐ฎ๐๐ฒ๐ฑ ๐๐บ๐ผ๐น๐ฎ๐ด๐ฒ๐ป๐๐ ๐๐ญ.๐ฏ.๐ฌ ๐, and it comes with a major feature: you can now log agent runs using OpenTelemetry to inspect them afterwards! ๐
This interactive format is IMO much easier to inspect big multi-step runs than endless console logs.
The setup is very easy, in a few lines of code.
Find a tutorial here ๐ https://huggingface.co/docs/smolagents/tutorials/inspect_runs
This interactive format is IMO much easier to inspect big multi-step runs than endless console logs.
The setup is very easy, in a few lines of code.
Find a tutorial here ๐ https://huggingface.co/docs/smolagents/tutorials/inspect_runs
- 4 replies
Upload SiN-photonic-waveguide-loss-efficiency.csv
#4 opened 6 days ago
by
Taylor658
upvoted
3
collections
6 days ago
liked
5
Spaces
6 days ago
Running
on
Zero
24
๐
FLUX LoRa the Explorer
Running
29
๐จ
Metropolitan Museum
The Metropolitan Museum of Art Collection
Running
31
๐จ
Chicago Gallery
Art Institute of Chicago Gallery
Running
156
๐ฅ
Attention Visualization
Vision Transformer Attention Visualization
Running
414
๐
2024 AI Timeline
liked
4
models
6 days ago
