Unlocking Key Technologies in Document Parsing
Author(s): Florian June Originally published on Towards AI. A Comprehensive Guide with Insights This member-only story is on us. Upgrade to access all of Medium. A large number of documents — including technical documentation, historical records, academic publications, and legal files — …
Fine-Tuning Embedding Models: Achieving More with Less
Author(s): Nilesh Raghuvanshi Originally published on Towards AI. Improving Retrieval Augmented Generation (RAG) Systematically Fine-tuning for alignment— AI generated image Introduction In my last article, we saw that, while evaluating multiple embedding models on our domain-specific data, the huggingface/BAAI/bge-large-en-v1.5 model (1024 dimensions) …
What’s Really Driving the 2024 Election Narrative?
Author(s): Mukundan Sankar Originally published on Towards AI. An Inside Look at Media Sentiment and Key Issues Using Data This member-only story is on us. Upgrade to access all of Medium. Photo by visuals on Unsplash At the time of this writing, …
Evaluating Retrieval & Generation Pipelines
Author(s): Nilesh Raghuvanshi Originally published on Towards AI. Improving Retrieval Augmented Generation (RAG) Systematically Evaluating the pipeline — AI generated image Introduction This is the third and final article in a short series on systematically improving retrieval-augmented generation (RAG). In earlier articles, …
Classifying Rice With PyTorch: A Step-by-Step Guide
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. In the fast-paced world of agriculture, being able to classify different rice varieties quickly and accurately can be a game-changer. But how …
Choosing the Best Embedding Model For Your RAG Pipeline
Author(s): Nilesh Raghuvanshi Originally published on Towards AI. Improving Retrieval Augmented Generation (RAG) Systematically Choosing the right option — AI generated image Introduction Through my experience building an extractive question-answering system using Google’s QANet and BERT back in 2018, I quickly realized …
Building Multimodal RAG Application #3: Multimodal RAG System Architecture
Author(s): Youssef Hosni Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. In the third article of the Building Multimodal RAG Application series, we explore the system architecture of building a multimodal retrieval-augmented generation …
Fine-Tuning Legal-BERT: LLMs For Automated Legal Text Classification
Author(s): Drewgelbard Originally published on Towards AI. Unlocking efficient legal document classification with NLP fine-tuning Image Created by Author Introduction In today’s fast-paced legal industry, professionals are inundated with an ever-growing volume of complex documents — from intricate contract provisions and merger …
Can CatBoost with Cross-Validation Handle Student Engagement Data with Ease?
Author(s): Talha Nazar Originally published on Towards AI. Understanding student engagement is essential in the digital age of online education, internships, and competitions. But what if we could predict a student’s engagement level before they begin? This story explores CatBoost, a powerful …
Cybersecurity Careers In The AI Era: New Roles Emerging in 2025 and Beyond
Author(s): Taimur Ijlal Originally published on Towards AI. AI Is Going To dominate Cybersecurity Conversations In 2025 And Beyond This member-only story is on us. Upgrade to access all of Medium. AI is going to continue to dominate cybersecurity related news in …
Pandas Is Dead. Machine Learning Teams Are Using These Tools Instead.
Author(s): Julia Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by BoliviaInteligente on Unsplash Python’s Pandas library has been a long-standing favorite among data analysts due to its powerful DataFrame structure and …
TAI #124; Search GPT, Coding Assistant adoption, Towards AI Academy launch, and more!
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we saw many more incremental model updates in the LLM space, together with further evidence of LLM coding assistants gaining traction. Google’s …
Fine Tuning Pytorch ViT for CIFAR10
Author(s): Ahmad Mustapha Originally published on Towards AI. In the previous article here we created a ViT model from scratch and trained it on the CIFAR10 dataset. However, the model accuracy peaked at 67% without deliberate hyperparameters fine tuning. This is expected …
Why There’s No Better Time to Learn LLM Development
Author(s): Towards AI Editorial Team Originally published on Towards AI. LLMs are already beginning to deliver significant efficiency savings and productivity boosts when assisting workflows for early adopters. However, a large amount of work has to be delivered to access the potential …
Exploring Causal Decision Theory Approach with Quantile Regression
Author(s): Shenggang Li Originally published on Towards AI. Using AI and Causal Decision Theory to Prioritize Restocking: Balancing Demand, Inventory Risk, and Product Importance This member-only story is on us. Upgrade to access all of Medium. Photo by Louis Hansel on Unsplash …
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