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Agents

LLM Application - Q/A Assistant

less than 1 minute read

Published:

In this blogpost, I created an interactive command line Q&A assistant application that uses an Ollama LLM, vector database to answer user questions through a retriever augmented generation (RAG) approach

Artificialintelligence

LLM Application - Q/A Assistant

less than 1 minute read

Published:

In this blogpost, I created an interactive command line Q&A assistant application that uses an Ollama LLM, vector database to answer user questions through a retriever augmented generation (RAG) approach

LLMs

LLM Application - Q/A Assistant

less than 1 minute read

Published:

In this blogpost, I created an interactive command line Q&A assistant application that uses an Ollama LLM, vector database to answer user questions through a retriever augmented generation (RAG) approach

artificialintelligence

Deep Learning in Tensorflow - The Perceptron

less than 1 minute read

Published:

In this blogpost, the fundamental building block (the perceptron) has been discussed to

  1. Translate the perceptron model to code
  2. Visualise the number of trainable hyper-parameters when number of layers and input changes

Basic Reinforcement Learning Algorithms

less than 1 minute read

Published:

In this blogpost, SARSA and Q-Learning Reinforcement Learning Algorithms have been used to solve classic OpenAI Gym problems of -

  1. Balancing a pole on a moving cart
  2. Driving a car up a mountain.

Autonomous Driving using Computer Vision

less than 1 minute read

Published:

In this blogpost, Convolution Neural Network based Computer Vision algorithms were used to train an autonomous virtual car.

autonomousdriving

Autonomous Driving using Computer Vision

less than 1 minute read

Published:

In this blogpost, Convolution Neural Network based Computer Vision algorithms were used to train an autonomous virtual car.

computervision

Autonomous Driving using Computer Vision

less than 1 minute read

Published:

In this blogpost, Convolution Neural Network based Computer Vision algorithms were used to train an autonomous virtual car.

deeplearning

Deep Learning in Tensorflow - The Perceptron

less than 1 minute read

Published:

In this blogpost, the fundamental building block (the perceptron) has been discussed to

  1. Translate the perceptron model to code
  2. Visualise the number of trainable hyper-parameters when number of layers and input changes

reinforcementlearning

Basic Reinforcement Learning Algorithms

less than 1 minute read

Published:

In this blogpost, SARSA and Q-Learning Reinforcement Learning Algorithms have been used to solve classic OpenAI Gym problems of -

  1. Balancing a pole on a moving cart
  2. Driving a car up a mountain.

robotics

Deep Learning in Tensorflow - The Perceptron

less than 1 minute read

Published:

In this blogpost, the fundamental building block (the perceptron) has been discussed to

  1. Translate the perceptron model to code
  2. Visualise the number of trainable hyper-parameters when number of layers and input changes

Basic Reinforcement Learning Algorithms

less than 1 minute read

Published:

In this blogpost, SARSA and Q-Learning Reinforcement Learning Algorithms have been used to solve classic OpenAI Gym problems of -

  1. Balancing a pole on a moving cart
  2. Driving a car up a mountain.

Autonomous Driving using Computer Vision

less than 1 minute read

Published:

In this blogpost, Convolution Neural Network based Computer Vision algorithms were used to train an autonomous virtual car.