ID Tech Camps Blog

Insights, tutorials, and research from our AI experts and Hugging Face contributors

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Featured

How We Achieved Top 3 on Hugging Face's GLUE Leaderboard: A Technical Deep Dive

Our research team shares the innovative techniques and model architecture that led to our breakthrough performance on the GLUE benchmark, outperforming models from much larger organizations.

Dr. Michael Rodriguez, CTOJanuary 18, 202512 min read
Advanced Prompt Engineering Techniques from Our Hugging Face Contributors
Tutorials
Advanced Prompt Engineering Techniques from Our Hugging Face Contributors
Our team of Hugging Face contributors shares advanced prompt engineering strategies that have proven effective across multiple model architectures and tasks.
December 15, 202412 min read
Dr. Alex Kim
Dr. Alex Kim
Breaking Down Our RAG System That Ranked #1 on the KILT Benchmark
Leaderboards
Breaking Down Our RAG System That Ranked #1 on the KILT Benchmark
A technical analysis of our retrieval-augmented generation system that achieved top performance on the Knowledge-Intensive Language Tasks benchmark.
November 8, 202415 min read
Dr. Emily Johnson
Dr. Emily Johnson
ID Tech Camps Partners with Hugging Face for Student Competitions
News
ID Tech Camps Partners with Hugging Face for Student Competitions
Exciting news! We're collaborating with Hugging Face to host AI competitions for students, with winners getting their models featured on the platform.
October 22, 20245 min read
Dr. Sarah Chen
Dr. Sarah Chen
Fine-tuning LLMs for Educational Applications: Our Methodology
Tutorials
Fine-tuning LLMs for Educational Applications: Our Methodology
Learn the exact methodology we used to fine-tune large language models for educational contexts, improving their accuracy and safety for classroom use.
September 12, 202418 min read
Dr. Alex Kim
Dr. Alex Kim
Our Research on Reducing Hallucinations in Large Language Models
Research
Our Research on Reducing Hallucinations in Large Language Models
ID Tech Camps researchers present a novel approach to significantly reduce hallucinations in LLMs while maintaining their creative capabilities.
August 5, 202414 min read
Dr. Maria Garcia
Dr. Maria Garcia
How We Achieved 96% Accuracy on the SQuAD 2.0 Benchmark
Leaderboards
How We Achieved 96% Accuracy on the SQuAD 2.0 Benchmark
A detailed breakdown of our question-answering model that reached 96% accuracy on the Stanford Question Answering Dataset, placing us in the top 5 globally.
July 18, 202416 min read
Dr. David Lee
Dr. David Lee

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