team-lucid/deberta-v3-base-korean
0.1B
•
Updated
•
122
•
14
Seonggyu
seonggyu
AI & ML interests
NLP, SFT, LoRA finetunning, ML Pipeline
Recent Activity
liked
a model
about 3 hours ago
team-lucid/deberta-v3-base-korean
liked
a model
about 17 hours ago
sentence-transformers/all-MiniLM-L6-v2
upvoted
a
collection
6 days ago
MiMo-V2-Flash
Organizations
None yet
liked
a
model
about 3 hours ago
liked
a
model
about 17 hours ago
upvoted
a
collection
6 days ago
upvoted
a
collection
23 days ago
liked
a
model
2 months ago
liked
a
dataset
4 months ago
liked
a
model
8 months ago
upvoted
2
articles
8 months ago
Article
I trained a Language Model to schedule events with GRPO!
•
91
Article
Welcoming Llama Guard 4 on Hugging Face Hub
- +2
•
40
reacted to
Raahulthakur's
post with ❤️
8 months ago
Post
3603
FinSightX: Your AI Financial Co-Pilot
FinSightX is a multi-agent financial assistant powered by language models. Designed for analysts, investors, and fintech developers, it combines insights from multiple domains into a single, sleek Streamlit interface.
Features
Equity Analyst Agent → Ask questions about stocks, indicators, performance.
Macro Strategist Agent → Get macroeconomic insights using language models.
News Summarizer Agent → Summarizes market headlines instantly.
Quant Backtester Agent → Run basic backtests using bt.
Regulatory Radar Agent → Monitor policy shifts and alerts.
Client Advisor Agent → Assist with client queries or hypothetical portfolios.
Tech Stack
transformers, sentence-transformers
torch, scikit-learn, neuralprophet
bt for strategy backtesting
chromadb for vector storage
Streamlit + FastAPI for UI/backend
Developed and maintained by @Raahul-Thakur
Live Space:
Built using open-source tools and financial domain knowledge. Contributions, feedback, and forks welcome!
FinSightX is a multi-agent financial assistant powered by language models. Designed for analysts, investors, and fintech developers, it combines insights from multiple domains into a single, sleek Streamlit interface.
Features
Equity Analyst Agent → Ask questions about stocks, indicators, performance.
Macro Strategist Agent → Get macroeconomic insights using language models.
News Summarizer Agent → Summarizes market headlines instantly.
Quant Backtester Agent → Run basic backtests using bt.
Regulatory Radar Agent → Monitor policy shifts and alerts.
Client Advisor Agent → Assist with client queries or hypothetical portfolios.
Tech Stack
transformers, sentence-transformers
torch, scikit-learn, neuralprophet
bt for strategy backtesting
chromadb for vector storage
Streamlit + FastAPI for UI/backend
Developed and maintained by @Raahul-Thakur
Live Space:
Built using open-source tools and financial domain knowledge. Contributions, feedback, and forks welcome!
liked
2
Spaces
8 months ago
upvoted
a
paper
8 months ago
liked
3
models
8 months ago
liked
a
model
9 months ago
upvoted
a
collection
10 months ago
liked
a
model
10 months ago
upvoted
a
paper
10 months ago