Revolutionizing AI with DeepSeekMoE: Fine-grained Expert and Shared Expert isolation 🧞♂️
Author(s): JAIGANESAN Originally published on Towards AI. Revolutionizing AI with DeepSeekMoE: Fine-grained Expert and Shared Expert isolation 🧞♂️ JAIGANESAN · Follow Published in Towards AI ·11 min read·1 hour ago 1 Listen Share Image by Imaginium from Pixabay In this article, we’re …
A Data Analysis Project — Smart Phones Data Analysis.
Author(s): Kamireddy Mahendra Originally published on Towards AI. The more we immerse ourselves in the hands-on process of analyzing data, the more we develop our expertise in data analytics. Photo by Austin Distel on Unsplash Here is the data analysis Project of …
How do I Evaluate Large Language Models
Author(s): Meenakshi Srinivasan Originally published on Towards AI. Photo by Steve Johnson on Unsplash How do I Evaluate Large Language Models Meenakshi Srinivasan · Follow Published in Towards AI ·8 min read·19 hours ago 4 Listen Share Before the launch of Large …
Phi-3 and Azure: PDF Data Extraction | ExtractThinker
Author(s): Júlio Almeida Originally published on Towards AI. Extracting structured data from PDFs and images can be challenging, but combining Optical Character Recognition (OCR) with Language Models (LLMs) offers a powerful solution. Within the Azure ecosystem, Azure Document Intelligence is the way …
Hands-On Introduction to Open AI Function Calling
Author(s): Youssef Hosni Originally published on Towards AI. A few months ago, OpenAI introduced a new capability to its API, enhancing its most recent models to accept additional parameters for function calling. These models are now fine-tuned to determine when it’s relevant …
Testing Prompt Engineering-Based LLM Applications
Author(s): Youssef Hosni Originally published on Towards AI. Hands-On Prompt Engineering for LLMs Application Development Once such a system is built, how can you assess its performance? As you deploy it and users interact with it, how can you monitor its effectiveness, …
MidJourney and Surrealism: A Match Made in Artistic Heaven
Author(s): PromptDervish Originally published on Towards AI. This combination is the perfect match for creative minds. Learn how to create stunning, imaginative art. Surrealism is an artistic movement that began in the early 1920s in Paris. It aims to unleash the power …
RNN: Basic Recursive Neural Network for sentiment analysis in PyTorch
Author(s): Greg Postalian-Yrausquin Originally published on Towards AI. This is a quick example to demonstrate the use of RNN to classify a set of tweets into positive or negative feedback. The idea is to give a quick high-level view of how recursive …
As a Product Manager, here’s how I *actually* use ChatGPT at work
Author(s): Joy Zhang Originally published on Towards AI. Spoiler alert: no, I don’t use it to come up with new product features.Photo by Brooke Cagle on Unsplash I know I’ve been reading too much Reddit when I start encountering threads titled: ‘will …
A Study of Llama 3’s Rotary Position Embeddings
Author(s): Lorentz Yeung Originally published on Towards AI. APhoto by Önder Örtel on Unsplash Last year, I created my own small LLM models. LLaMA 3 is a hit this year, and it made me curious to explore how LLaMA’s architecture differs from …
Top Data Validation Tools for Machine Learning
Author(s): Eryk Lewinson Originally published on Towards AI. Discover Python tools that can catch any issues with your data!Image generated with Midjourney It was challenging to stop myself from starting this article with some variation of the popular phrase “garbage in, garbage …
Let’s Talk Auto-Encoders
Author(s): Aminul Huq Originally published on Towards AI. In the field of deep learning, auto-encoders play a vital role. They have been used for various tasks, such as image reconstruction, noise removal, encoding, etc. Some people also use them in innovative ways …
Understanding MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Author(s): Hesam Sheikh Originally published on Towards AI. the math and intuition behind a novel parameter-efficient fine-tuning methodThe outline of MoRA vs LoRA. (source: MoRA paper) A recent, “MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning”, introduces a new method into the family of …
LoRA Learns Less and Forgets Less
Author(s): Hesam Sheikh Originally published on Towards AI. We will go through LoRA (Low-Rank Adaptation of Large Language Models), what it is, and the interesting properties of LoRA when compared to Full Fine-TuningLoRA from the original paper. LoRA is one of the …
Building AI Agents With Crew AI using Google Gemini, Groq, LLama3
Author(s): Suhaib Arshad Originally published on Towards AI. Inspired from: Enable AGI | How to Create Autonomous AI Agents with GPT-4 & Auto-GPT — YouTube Introduction In the recent uproar of Devin AI’s emergence, there was a genuine concern in the market …
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