Zain ul AbideenBeyond LLaMA: The Language Model Trio Alpaca, Vicuna, and WizardLMPeering into the fine-tuning techniques and capabilities of Alpaca, Vicuna, and WizardLMJun 26, 2023Jun 26, 2023
Zain ul AbideenTraining at Scale: Chinchilla Scaling Laws for Compute-Optimal Training of LLMsExploring Chinchilla’s scaling laws and Meta’s LLaMA modelJun 26, 20231Jun 26, 20231
Zain ul AbideenNavigating the Prompt Space: Techniques for Effective Prompt ExplorationExploring advanced prompting techniquesJun 26, 2023Jun 26, 2023
Zain ul AbideenParameter Efficient Fine-tuning of LLMs: Maximizing Performance with Minimal Parameter UpdatesExploring LoRA, Prefix Tuning, and QLoRAJun 26, 2023Jun 26, 2023
Zain ul AbideenReinforcement Learning from Human Feedback (RLHF): Empowering ChatGPT with User GuidanceTransition from GPT-3.5 to ChatGPTJun 26, 20231Jun 26, 20231
Zain ul AbideenA Comparative Analysis of LLMs like BERT, BART, and T5Exploring Language ModelsJun 26, 20231Jun 26, 20231
Zain ul AbideenAutoregressive Models for Natural Language ProcessingThe Evolution of GPT: From GPT to GPT-2 to GPT-3Jun 26, 20232Jun 26, 20232
Zain ul AbideenAttention Is All You Need: The Core Idea of the TransformerAn overview of the Transformer model and its key components.Jun 26, 20231Jun 26, 20231
Zain ul AbideenFrom Seq2Seq to Attention: Revolutionizing Sequence ModelingInvestigating the origin of Attention mechanism and Bahdanau attentionJun 26, 2023Jun 26, 2023
Zain ul AbideenDemystifying Sequence Modeling: Understanding RNNs, LSTMs, and Seq2SeqExploring the fundamentals and applications of sequence modeling.Jun 26, 2023Jun 26, 2023