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Areas Served: Auditing Predictive A.I. Models for Bias and Fairness
Author(s): Eera Bhatt Originally published on Towards AI. Recently, two authors published a paper with guidance for conducting audits on predictive A.I. models to improve their ethics. In our case, an audit is an inspection of a predictive model just to evaluate …
Important LLMs Papers for the Week from 15/07 to 21/07
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research 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 …
Improving RAG Answer Quality Through Complex Reasoning
Author(s): Sachin Khandewal Originally published on Towards AI. TLDR; In this article, we will explain multi-hop retrieval and how it can be leveraged to build RAG systems that require complex reasoning We will showcase the technique by building a Q&A chatbot in …
Top Important Computer Vision Papers for the Week from 15/07 to 21/07
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in various topics such as diffusion models, vision language models, image editing and generation, …
RouteLLM: How I Route to The Best Model to Cut API Costs
Author(s): Gao Dalie (高達烈) Originally published on Towards AI. large language models have shown amazing capabilities in a variety of tasks, but there is a big difference in their cost and capabilities. Claude 3 Opus, GPT-4, and others are high in performance, …
Building Visual Questioning Answering System Using Hugging Face Open-Source Models
Author(s): Youssef Hosni Originally published on Towards AI. Visual Question Answering (VQA) is a complex task that combines computer vision and natural language processing to enable systems to answer questions about images. In this technical blog, we explore the creation of a …
6 Years of Studying ML in 16 Minutes
Author(s): Boris Meinardus Originally published on Towards AI. I have been studying machine learning for the past 6 years — here is my journey. I have been studying machine learning for the past 6 years, in which I worked as an ML …
Fine-Tuning and Evaluating Large Language Models: Key Benchmarks and Metrics
Author(s): Saif Ali Kheraj Originally published on Towards AI. Figure 1: Generative AI Project Lifecycle by Author (Referred from deeplearning.ai) In generative AI, we must first define the problem statement. Then, select a model accordingly. We must then select the model that …
Large Language Model Training Pipeline For NLP Text Classification
Author(s): Lu Zhenna Originally published on Towards AI. Summary I want to share a project that got me an interview. It will benefit aspiring data scientists who are less experienced than me and especially those who need an LLM project for their …
10 Important Blogs to Stay Updated with LLM Research & News
Author(s): Youssef Hosni Originally published on Towards AI. Staying up-to-date with the rapidly evolving world of Large Language Model (LLM) research and news can be a challenging task. With countless resources and endless streams of information, it’s easy to get overwhelmed. Luckily, …
Adversarial Machine Learning: Defense Strategies
Author(s): Michał Oleszak Originally published on Towards AI. Know thine enemy and protect your machine learning systems. The growing prevalence of ML models in business-critical applications results in an increased incentive for malicious actors to attack the models for their benefit. Developing …
A Complete Guide to Descriptive Statistics — Central Tendency and Dispersion
Author(s): Anmol Tomar Originally published on Towards AI. A one-stop solution for understanding Descriptive StatisticsImage generated through AI by Author In a world filled with data, statistics is the compass guiding us through the huge seas of numbers. Statistics play an important …
Important LLMs Papers for the Week from 08/07 to 14/07
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research 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 …
Revolutionizing Named Entity Recognition with Efficient Bidirectional Transformer Models
Author(s): Chien Vu Originally published on Towards AI. The light NER model outperforms both ChatGPT and fine-tuned LLMs in zero-shot evaluations on various NER benchmarks.Image by author Named Entity Recognition (NER) is an important task in Natural Language Processing (NLP) that involves …
Fine-Tuning LLMs with Synthetic Data for High-Quality Content Generation
Author(s): Vin Busquet Originally published on Towards AI. Evaluation data analysis featured in this article. (Photo of the author’s monitor) Table of Contents · Table of Contents· The POC Trek Begins· Fine-Tuning VS RAG ∘ What is fine-tuning? ∘ So, what is …
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