AI Insights & Blog
What are the computational costs of fine-tuning
Avichala's deep educational exploration of What are the computational costs of fine-tuning — combining clarity, research insights, and real-world AI understanding.
2025-11-12What are the different axes of HELM evaluation
Avichala's deep educational exploration of What are the different axes of HELM evaluation — combining clarity, research insights, and real-world AI understanding.
2025-11-12What are the limitations of BPE tokenization
Avichala's deep educational exploration of What are the limitations of BPE tokenization — combining clarity, research insights, and real-world AI understanding.
2025-11-12What are the limitations of perplexity
Avichala's deep educational exploration of What are the limitations of perplexity — combining clarity, research insights, and real-world AI understanding.
2025-11-12What are the limitations of the Transformer context window
Avichala's deep educational exploration of What are the limitations of the Transformer context window — combining clarity, research insights, and real-world AI understanding.
2025-11-12What are the LoRA hyperparameters (r, alpha)
Avichala's deep educational exploration of What are the LoRA hyperparameters (r, alpha) — combining clarity, research insights, and real-world AI understanding.
2025-11-12What are the parameters of an LLM
Avichala's deep educational exploration of What are the parameters of an LLM — combining clarity, research insights, and real-world AI understanding.
2025-11-12What are the privacy risks of LLMs
Avichala's deep educational exploration of What are the privacy risks of LLMs — combining clarity, research insights, and real-world AI understanding.
2025-11-12What are the problems with RLHF
Avichala's deep educational exploration of What are the problems with RLHF — combining clarity, research insights, and real-world AI understanding.
2025-11-12What are the risk arguments for open-sourcing
Avichala's deep educational exploration of What are the risk arguments for open-sourcing — combining clarity, research insights, and real-world AI understanding.
2025-11-12What are the safety arguments for open-sourcing
Avichala's deep educational exploration of What are the safety arguments for open-sourcing — combining clarity, research insights, and real-world AI understanding.
2025-11-12What are the scaling limits of LLMs
Avichala's deep educational exploration of What are the scaling limits of LLMs — combining clarity, research insights, and real-world AI understanding.
2025-11-12