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Day 51: Containerization of LLM Applications
Naresh Nishad
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Dec 13 '24
Day 51: Containerization of LLM Applications
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2 min read
Day 50: Building a REST API for LLM Inference
Naresh Nishad
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Dec 13 '24
Day 50: Building a REST API for LLM Inference
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Day 44: Probing Tasks for LLMs
Naresh Nishad
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Dec 2 '24
Day 44: Probing Tasks for LLMs
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Day 42: Continual Learning in LLMs
Naresh Nishad
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Nov 30 '24
Day 42: Continual Learning in LLMs
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Day 41: Multilingual LLMs
Naresh Nishad
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Nov 29 '24
Day 41: Multilingual LLMs
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Day 38: Question Answering with LLMs
Naresh Nishad
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Nov 26 '24
Day 38: Question Answering with LLMs
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Day 40: Constrained Decoding with LLMs
Naresh Nishad
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Nov 28 '24
Day 40: Constrained Decoding with LLMs
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Day 48: Quantization of LLMs
Naresh Nishad
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Dec 10 '24
Day 48: Quantization of LLMs
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Day 35 - BERT: Bidirectional Encoder Representations from Transformers
Naresh Nishad
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Nov 15 '24
Day 35 - BERT: Bidirectional Encoder Representations from Transformers
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Day 34 - XLNet: Generalized Autoregressive Pretraining for Language Understanding
Naresh Nishad
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Nov 14 '24
Day 34 - XLNet: Generalized Autoregressive Pretraining for Language Understanding
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Day 33 - ALBERT (A Lite BERT): Efficient Language Model
Naresh Nishad
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Nov 13 '24
Day 33 - ALBERT (A Lite BERT): Efficient Language Model
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Day 32 - Switch Transformers: Efficient Large-Scale Models
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Nov 12 '24
Day 32 - Switch Transformers: Efficient Large-Scale Models
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Day 31: Longformer - Efficient Attention Mechanism for Long Documents
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Nov 11 '24
Day 31: Longformer - Efficient Attention Mechanism for Long Documents
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Day 52: Monitoring LLM Performance in Production
Naresh Nishad
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Dec 14 '24
Day 52: Monitoring LLM Performance in Production
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Day:30 Reformer: Efficient Transformer for Large Scale Models
Naresh Nishad
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Nov 9 '24
Day:30 Reformer: Efficient Transformer for Large Scale Models
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Day 29: Sparse Transformers: Efficient Scaling for Large Language Models
Naresh Nishad
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Nov 8 '24
Day 29: Sparse Transformers: Efficient Scaling for Large Language Models
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Day 49: Serving LLMs with ONNX Runtime
Naresh Nishad
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Dec 11 '24
Day 49: Serving LLMs with ONNX Runtime
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Day 27: Regularization Techniques for Large Language Models (LLMs)
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Nov 6 '24
Day 27: Regularization Techniques for Large Language Models (LLMs)
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Day 26: Learning Rate Schedules
Naresh Nishad
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Nov 5 '24
Day 26: Learning Rate Schedules
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Day 47: Model Compression for Deployment
Naresh Nishad
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Dec 9 '24
Day 47: Model Compression for Deployment
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Day 46: Adversarial Attacks on LLMs
Naresh Nishad
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Dec 5 '24
Day 46: Adversarial Attacks on LLMs
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Day 45: Interpretability Techniques for LLMs
Naresh Nishad
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Dec 3 '24
Day 45: Interpretability Techniques for LLMs
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Day 22: Distributed Training in Large Language Models
Naresh Nishad
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Oct 29 '24
Day 22: Distributed Training in Large Language Models
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Day 43: Evaluation Metrics for LLMs
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Dec 1 '24
Day 43: Evaluation Metrics for LLMs
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Ethical Considerations in LLM Development and Deployment
Naresh Nishad
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Oct 28 '24
Ethical Considerations in LLM Development and Deployment
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