To Data & Beyond Week 4 Summary

Every week, To Data & Beyond delivers daily newsletters on data science and AI, focusing on practical topics. This newsletter summarizes the featured article in the fourth week of 2024. You can find them here if you're interested in reading the complete letters. Don't miss out—subscribe here to receive them directly in your email.

Table of Contents:

1. Hands-On LangChain for LLM Applications Development: Prompt Templates
2. My Personal Top 5 Data Science Books Set to Publish in 2024
3. Top Important LLM Papers for the Week from 15/01 to 21/01
4. Top Important Computer Vision Papers for the Week from 15/01 to 21/01

1. Hands-On LangChain for LLM Applications Development: Prompt Templates

By prompting an LLM or large language model, it is possible to develop complex AI applications much faster than ever before. However, an application can require prompting an LLM multiple times and parsing its output, so a lot of glue code must be written.

LangChain makes this development process much easier by using an easy set of abstractions to do this type of operation and by providing prompt templates.?

In this article, we will cover prompt templates why it is important, and how to use them effectively explained with practical examples.?

Table of Contents:

1. Setting Up Working Environment and Getting Started
2. Prompt Template using LangChain
3. Why do We Need LangChain Prompt Templates?

You can continue reading the article here

2. My Personal Top 5 Data Science Books Set to Publish in 2024

In this captivating article, I express my anticipation for five highly anticipated data science books scheduled for publication in 2024. This thoughtfully curated selection promises a rich exploration of key facets within the data science domain focusing on software engineering and practical Large Language Models.?

This diverse and comprehensive selection of upcoming releases signifies a pivotal moment for data science enthusiasts, offering a roadmap to navigate the evolving landscape of the field in the year 2024.

You can continue reading the article here

3. Top Important LLM Papers for the Week from 15/01 to 21/01

Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the most important LLM papers published during the Third Week of January 2024.

The papers cover various topics shaping the next generation of language models, from model optimization and scaling to reasoning, benchmarking, and enhancing performance. Keeping up with novel LLM research across these domains will help guide continued progress toward models that are more capable, robust, and aligned with human values.

Table of Contents:

1. LLM Progress & Benchmarking
2. LLM Fine Tuning
3. LLM Reasoning
4. LLM Training & Evaluation

You can continue reading the article here

4. Top Important Computer Vision Papers for the Week from 15/01 to 21/01

Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, generative adversarial networks (GANs), image segmentation, video analysis, and more.

This article provides a comprehensive overview of the most significant papers published in the Third Week of January 2024, highlighting the latest research and advancements in computer vision. Whether you’re a researcher, practitioner, or enthusiast, this article will provide valuable insights into the state-of-the-art techniques and tools in computer vision.

You can continue reading the article here

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