PinnedAtharv YeolekarinGoPenAIThe Prompt Tuning PlaybookExplore the world of prompt tuning, from prefix tuning and to multi-task prompt tuning in large language models.Jul 27Jul 27
PinnedAtharv YeolekarinGoPenAIA Comprehensive Analysis of LoRA VariantsOptimizing Language Models: An In-Depth Study of Low-Rank Adaptation Techniques”: Comparing LoRA, DoRA, QLoRA, AdaLoRA and HyperLoRAJul 19Jul 19
PinnedAtharv YeolekarDecoding Fundamentals: Exploring Basic Inference MethodsDelve into core decoding strategies! Understand greedy decoding, beam search, and sampling techniques. Learn their strengths and use cases.Jul 13Jul 13
PinnedAtharv YeolekarMastering Masked Language Models: Techniques, Comparisons, and Best PracticesExplore the evolution of Masked Language Modeling: from BERT to XLNet, uncover how to choose the right technique for your NLP tasks.Jun 24Jun 24
Atharv YeolekarComprehensive Guide to Advanced Tokenization Techniques in NLPIn the era of transformers and large language models (LLMs), tokenization often fades into the background, overshadowed by discussions of…Jun 30Jun 30
Atharv YeolekarWordPiece Tokenization: A BPE VariantUnderstand the process behind Word Piece Tokenization and its relation with Byte Pair Encoding.Jun 29Jun 29
Atharv YeolekarByte Pair Encoding: Cracking the Subword CodeEver wondered how chatbots understand your typos or how translation apps handle words they’ve never seen before? Enter Byte Pair Encoding…Jun 28Jun 28