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Measurably Correct: Strategies for LLM Evaluation.

Measurably Correct: Strategies for LLM Evaluation.

By Ben Wilde, Angeline Yasodhara and Rodrigo Ceballos Lentini
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Georgian
2023: The Year of LLMs

2023: The Year of LLMs

By: Benjamin Ye, Mariia Ponomarenko, Kyryl Truskovskyi & Rohit Saha
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Georgian
Exploring delivery methods for LLMs to customers

Exploring delivery methods for LLMs to customers

By: Mariia Ponomarenko & Kyryl Truskovskyi
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Georgian
Experimenting with fine-tuning: Llama 2, Mistral and Zephyr

Experimenting with fine-tuning: Llama 2, Mistral and Zephyr

By: Benjamin Ye & Rohit Saha
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Georgian
The Practical Guide to LLMs: Llama 2

The Practical Guide to LLMs: Llama 2

By: Rohit Saha, Royal Sequeira, Mariia Ponomarenko & Kyryl Truskovskyi
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Georgian
The Practical Guide to LLMs: RedPajama

The Practical Guide to LLMs: RedPajama

By: Rohit Saha, Akash Saravanan, Mariia Ponomarenko & Kyryl Truskovskyi
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Georgian
The Practical Guide to LLMs: Falcon

The Practical Guide to LLMs: Falcon

By: Rohit Saha, Angeline Yasodhara, Mariia Ponomarenko & Kyryl Truskovskyi
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Georgian
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Georgian

Lessons learned from our GenAI boot camp and hackathon

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The Practical Guide to LLMs: Flan-T5

By: Rohit Saha, Mariia Ponomarenko & Kyryl Truskovskyi

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Georgian

Getting started with Generative AI: 4 ways to customize your models

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Time Series Anomaly Detection: The Detective’s Toolbox

By: Benjamin Ye and Angeline Yasodhara

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Anomoly on the time series express picture with train and data in the background

Time Series Anomaly Detection: Uncovering Clues to Mysterious Cyber Activities

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ML model lifecycle

How to Bring ML to Production: Tips and Useful Tools

By: Kyryl Truskovskyi

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Transforming the Retail Industry with Transformers

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State of Representation Learning — ICLR 2022

By: Angeline Yasodhara

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Agile AI at Georgian Part 5: A Roundup of our Favorite MLOps Tools

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Agile AI at Georgian — Part 4: How Data Can Make or Break Your AI Project

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