Santhoshkumar S., M.S(SE).,Ph.D
A researcher, developer, and writer
- Cologne, Germany
- Eurowings Digital GmbH
- Github
- Google Scholar
- ORCID
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LLN: How Response Generated – Sampling
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Large Language Models revolutionising in various fields by providing unique results for any query. In real-time interactions, output generation is one of the vital part that receives set of predictions and generate the best outcome. This blog post tries to explain this very important response generation technique and it’s types.
How LLMs are built
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Large Language Models are large neural networks with so much of data being fed to it while training to make it more powerful. Building such models not only require various steps but also require effective techniques in terms of cost and computation. This blog post is to explain how a LLM is built from scratch.
Performance Metrics in Machine Learning – Part 2
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To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution.
Performance Metrics in Machine Learning – Part 1
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Published:
To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution. Read here: Blog Post