Data Science Engineering
Sofware Engineering for Machine Learning and Deep Learning
Is Image Detection a Done Deal Finally
Is Image Detection a Done Deal Finally
Yes, It is or seems to be very close to done with Very Large Visual Language Models
Explaining Neural Network as Simple as Possible — Gradient Descent
Explaining Neural Network as Simple as Possible — Gradient Descent
Slope, Gradients, Jacobian,Loss Function and Gradient Descent
Explaining Neural Network as Simple as Possible —The Perceptron
Explaining Neural Network as Simple as Possible —The Perceptron
Vectors, Matrices, the Dot Product and the earlier Neural Network — The Perceptron
Exploring Large Language Models -Part 3
Exploring Large Language Models -Part 3
Fine-tuning, Model Quantisation, Low Ranked Adapters, Instruct Tuning and using LLMs to generate training data
Exploring Large Language Models -Part 2
Exploring Large Language Models -Part 2
Using LLMs effectively: Information retrieval, Personal assistants, Causal Reasoning Agents, Explainability and hierarchical control-based…
Exploring Large Language Models -Part 1
Exploring Large Language Models -Part 1
The Holy Grail of Machine Learning — Unsupervised Learning, Emergence of Understanding, Understanding LLM training
Exploring Large Language Models
Exploring Large Language Models
Language Understanding, Task Generalization, Causal Reasoning, Explainability/Hallucinations, Quantisation, Fine-Tuning via Instruct…
Log File reduction with TFIDF ranking
Log File reduction with TFIDF ranking
And outlier/anomaly detection using the rank and time with TimeSeries Fitting
Training/Fine tuning a Masked Language Model (MLM)
Training/Fine tuning a Masked Language Model (MLM)
De-noised Teacher Forced training example and explanation