How to make Generative AI reliable
Author(s): Mark O’Neill Originally published on Towards AI. They say your greatest strength creates your greatest weakness. Generative AI models that can produce an infinite amount of answers for an infinite amount of prompts, will naturally be terrible at behaving predictably and …
Advanced Recipes for Contrastive Learning
Author(s): Raj Sangani Originally published on Towards AI. Photo by Agence Olloweb on Unsplash Note : This blog assumes familiarity with basic knowledge about dense retrievers, RAG systems and contrastive learning. A very solid introduction to this can be found in the …
Genetic Algorithms Simplified: A Step-by-Step Example for Beginners
Author(s): Linh V Nguyen Originally published on Towards AI. Unraveling Nature-Inspired Optimization to Build Your First Genetic Algorithm This member-only story is on us. Upgrade to access all of Medium. Genetic Algorithm (GA) is an evolutionary computation inspired by Darwin’s theory of …
Reliable Agentic RAG with LLM Trustworthiness Estimates
Author(s): Chris Mauck Originally published on Towards AI. This article demonstrates an agentic system to ensure reliable answers in Retrieval-Augmented Generation, while also ensuring that latency and compute costs do not exceed the processing needed to accurately respond to complex queries. Our …
Create an Instruction Dataset From Scratch
Author(s): Arthur Lagacherie Originally published on Towards AI. image by me My goal today is to create an instruction dataset from Wikipedia texts. But first, what is an Instruct dataset.? An Instruct dataset is a dataset for LLMs fine-tuning, after its pre-training, …
#39 Top 5 ML Algorithms, Graph RAG, & Tutorial for Creating an Agentic Multimodal Chatbot.
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we have discussed some of the latest industry innovations and trends like GraphRAG, Agentic chatbots, evolving trends with search engines, and some very interesting project-based collaboration …
Small AI Models Will Takeover Frontier Models At Specific Tasks
Author(s): Lorenzo Zarantonello Originally published on Towards AI. The increasing costs and diminishing returns of training LLMs create the ground to optimize small AI models. This member-only story is on us. Upgrade to access all of Medium. Until recently, big tech and …
Transformer Architecture Part -1
Author(s): Sachinsoni Originally published on Towards AI. In recent years, transformers have revolutionized the world of deep learning, powering everything from language models to vision tasks. If you’ve followed my previous blogs, you’re already familiar with some of the key components like …
Exploring Activation Functions, Loss Functions, and Optimization Algorithms
Author(s): Ali Originally published on Towards AI. A Beginner-friendly overview This member-only story is on us. Upgrade to access all of Medium. Neural Network -source (author) When building Deep Learning models, activation functions, loss functions, and optimizing algorithms are crucial components that …
Mathematical Transformations in Feature Engineering: Log, Reciprocal, and Power Transforms Explained with Visualization
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re preparing to bake a cake, but some ingredients are piled high, and others barely fill the spoon. Without smoothing out …
Compare & Understand: Designing Chatbot Applications With a UI Mindset — Part 2
Author(s): Sanjay Krishna Anbalagan Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. In Part 1, we explored how designing chatbot applications can mirror the mental model of traditional UI-based frontend applications. As we …
Compare & Understand: Designing Chatbot Applications With a UI Mindset — Part 1
Author(s): Sanjay Krishna Anbalagan Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. As Generative AI evolves, chatbots are becoming a cornerstone of modern applications. Traditionally, front-end applications rely on UI-based interactions — users …
I created a Character Counter using ChatGPT & YouTube
Author(s): Nizamuddin Siddiqui Originally published on Towards AI. You can too, in minutes This member-only story is on us. Upgrade to access all of Medium. Taken from my Character Counter First of all, I am not a programmer but I can write …
Optimizing Machine Learning Models: A Deep Dive into Hyperparameter Tuning Techniques
Author(s): MD TAHSEEN EQUBAL Originally published on Towards AI. Grid Search, Random Search and Bayesian Optimization Introduction to Hyperparameters Hyperparameters are the external parameters of a machine learning model that are not learned from the data. Instead, they are set before the …
Revisiting Chunking in the RAG Pipeline
Author(s): Florian June Originally published on Towards AI. Unveiling the Cutting-Edge Advances in Chunking This member-only story is on us. Upgrade to access all of Medium. Chunking involves dividing a long text or document into smaller, logically coherent segments or “chunks.” Each …
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