Recommended materials for cracking your next technical interview
Curiosity: How can we systematically prepare for technical interviews? What resources should we retrieve to maximize our chances of success?
Fodev JEO
LATEST INVESTIGATIONS
Source audits & field notes
Self-Evolution in LLMs
Curiosity: How can LLMs learn and improve autonomously?
Hugging Face x AWS
Curiosity: How can we deploy large LLMs without GPU access? What makes AWS Inferentia2 a viable alternative for running Llama 3 70B?
Large Language Model Course
Curiosity: How can we systematically learn to build and deploy LLM applications?
How do computer programs run
Curiosity: What happens when we click “Run” on a program? How does the operating system transform code into executing instructions?
10 Algorithms Shaping the Tech World
Essential for organizing data, sorting algorithms streamline tasks from simple list arrangements to complex database management and machine learning o…
LLM 성능 평가 ( 한국어 ) Use Case 분석해보기
Curiosity: How much better does GPT-4o perform than GPT-4-turbo in Korean? What insights can we gain through quantitative evaluation?
Top Papers in Computer Vision, NLP, Speech, Multimodal AI, Core ML, RecSys, and Graph ML
👉🏼 I’ve put together a summary of key papers in #AI and categorized them into (i) need-to-know and (ii) good-to-know.
VectorEmbeddings are the backbone of AI/ML applications
Curiosity: Machines don’t understand human language & that is where we need embeddings.
Llama 3 implemented in pure NumPy
Curiosity: How can we understand LLM architectures at the most fundamental level?
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