Ashish Kumar Sinha
Machine Learning Engineer and Researcher.
Tags
gnn algorithm llm project nlp theory recsys survey rl PEFT Machine Learning Deep Learning Transformers LoRA Attention LLM Quantization SFT embedding collapse optimization machine learning representation learning cpc contrastive learning self-supervised learning visual representations#gnn
#algorithm
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Node2Vec - Word2Vec in disguise (?)
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Graph Convolutional Nets - Basics
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Self Attention Mechanism - Learning Contextualized Embeddings
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Frequent Itemset Mining
#llm
huberLLM - Retrieval Augmented LLM for Huberman Podcast#project
#nlp
#theory
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Self Attention Mechanism - Learning Contextualized Embeddings
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Frequent Itemset Mining
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Imitation Learning - How to make it work?
#recsys
#survey
#rl
#PEFT
#Machine Learning
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Parameter Efficient Fine Tuning (PEFT) – Adapting Large Models at Scale
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How Low-Rank Adaptation (LoRA) Changes the Geometry of Self-Attention
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Democratizing LLM Inference with Quantization Techniques
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Supervised Fine-Tuning (SFT) for LLMs
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Supervised Fine-Tuning (SFT) on a Tiny Language Model
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Low-Rank Adaptation (LoRA) for BERT Classification
#Deep Learning
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Parameter Efficient Fine Tuning (PEFT) – Adapting Large Models at Scale
-
How Low-Rank Adaptation (LoRA) Changes the Geometry of Self-Attention
-
Democratizing LLM Inference with Quantization Techniques
-
Supervised Fine-Tuning (SFT) for LLMs
-
Supervised Fine-Tuning (SFT) on a Tiny Language Model
-
Low-Rank Adaptation (LoRA) for BERT Classification
#Transformers
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Parameter Efficient Fine Tuning (PEFT) – Adapting Large Models at Scale
-
How Low-Rank Adaptation (LoRA) Changes the Geometry of Self-Attention
-
Democratizing LLM Inference with Quantization Techniques
-
Supervised Fine-Tuning (SFT) for LLMs
-
Supervised Fine-Tuning (SFT) on a Tiny Language Model
-
Low-Rank Adaptation (LoRA) for BERT Classification
#LoRA
-
How Low-Rank Adaptation (LoRA) Changes the Geometry of Self-Attention
-
Low-Rank Adaptation (LoRA) for BERT Classification
#Attention
#LLM
-
Democratizing LLM Inference with Quantization Techniques
-
Supervised Fine-Tuning (SFT) for LLMs
-
Supervised Fine-Tuning (SFT) on a Tiny Language Model
-
Low-Rank Adaptation (LoRA) for BERT Classification
#Quantization
#SFT
#embedding collapse
#optimization
#machine learning
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Why Embedding Models Collapse: A Mathematical and Optimization Perspective
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SimCLR - Learning Visual Representations Without Labels
#representation learning
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Why Embedding Models Collapse: A Mathematical and Optimization Perspective
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Contrastive Predictive Coding - Learning Representations by Predicting the Future
#cpc
#contrastive learning
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Contrastive Predictive Coding - Learning Representations by Predicting the Future
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SimCLR - Learning Visual Representations Without Labels
#self-supervised learning
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Contrastive Predictive Coding - Learning Representations by Predicting the Future
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SimCLR - Learning Visual Representations Without Labels