Towards AI

DECEMBER 12, 2024

This issue is resource-heavy but quite fun, with real-world AI concepts, tutorials, and some LLM essentials. We are diving into Mechanistic interpretability, an emerging area of research in AI focused on understanding the inner workings of neural networks. Jjj8405 is seeking an NLP/LLM expert to join the team for a project.

Neural Network 104

Neural Network LLM Explainability NLP 104

Towards AI

DECEMBER 12, 2024

This issue is resource-heavy but quite fun, with real-world AI concepts, tutorials, and some LLM essentials. We are diving into Mechanistic interpretability, an emerging area of research in AI focused on understanding the inner workings of neural networks. Jjj8405 is seeking an NLP/LLM expert to join the team for a project.

Neural Network 103

Neural Network LLM Explainability NLP 103

Unite.AI

NOVEMBER 14, 2024

DeepL has recently launched its first in-house LLM. Our next-generation translation models are powered by proprietary LLM technology designed specifically for translation and editing, which sets it apart from other models on the market and sets a new industry standard for translation quality and performance.

Neural Network 130

Neural Network LLM Large Language Models AI Modeling 130

Unite.AI

AUGUST 28, 2024

Deep learning (DL), the most advanced form of AI, is the only technology capable of preventing and explaining known and unknown zero-day threats. Unlike ML, DL is built on neural networks, enabling it to self-learn and train on raw data. Can you explain the inspiration behind DIANNA and its key functionalities?

Deep Learning 274

Deep Learning Explainability Neural Network Metadata 274

Unite.AI

MARCH 11, 2024

Unlike older AI systems that use just one AI model like the Transformer based LLM, CAS emphasizes integration of multiple tools. Interpretable and Explainable: Using multiple components allows us to interpret how each component contributes to the final output, making these systems interpretable and transparent.

AI Modeling 298

AI Modeling Neural Network Large Language Models AI 298

Towards AI

JANUARY 21, 2025

Nevertheless, when I started familiarizing myself with the algorithm of LLMs the so-called transformer I had to go through many different sources to feel like I really understood the topic.In Before I start explaining the transformer, we need to recall that ChatGPT generates its output in a loop, one token after the other.

Algorithm 105

Algorithm ChatGPT Large Language Models Neural Network 105

Snorkel AI

MARCH 26, 2025

LLM-as-Judge has emerged as a powerful tool for evaluating and validating the outputs of generative models. AI judges must be scalable yet cost-effective , unbiased yet adaptable , and reliable yet explainable. AI judges must be scalable yet cost-effective , unbiased yet adaptable , and reliable yet explainable. Lets dive in.

LLM 52

LLM Data Scientist Prompt Engineer Prompt Engineering 52

Unite.AI

OCTOBER 5, 2023

This is your third AI book, the first two being: “Practical Deep Learning: A Python-Base Introduction,” and “Math for Deep Learning: What You Need to Know to Understand Neural Networks” What was your initial intention when you set out to write this book? AI as neural networks is merely (!)

Neural Network 292

Neural Network Deep Learning Machine Learning AI 292

Snorkel AI

JANUARY 22, 2025

The neural network architecture of large language models makes them black boxes. They use a process called LLM alignment. Below, we will explain multiple facets of how alignment builds better large language model (LLM) experiences. Aligning an LLM works similarly. Lets dive in. Then, the employee adjusts.

Large Language Models 59

Large Language Models LLM Data Scientist Neural Network 59

Unite.AI

DECEMBER 1, 2023

SHAP's strength lies in its consistency and ability to provide a global perspective – it not only explains individual predictions but also gives insights into the model as a whole. The Scale and Complexity of LLMs The scale of these models adds to their complexity. Impact of the LLM Black Box Problem 1.

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LLM Machine Learning Explainability Algorithm 261

Unite.AI

JUNE 4, 2024

In a world where AI seems to work like magic, Anthropic has made significant strides in deciphering the inner workings of Large Language Models (LLMs). By examining the ‘brain' of their LLM, Claude Sonnet, they are uncovering how these models think. How Anthropic Enhances Transparency of LLMs?

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Large Language Models Neural Network LLM Explainability 220

AWS Machine Learning Blog

NOVEMBER 26, 2024

However, LLMs such as Anthropic’s Claude 3 Sonnet on Amazon Bedrock can also perform these tasks using zero-shot prompting, which refers to a prompting technique to give a task to the model without providing specific examples or training for that specific task. You don’t have to tell the LLM where Sydney is or that the image is for rainfall.

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LLM Convolutional Neural Networks Metadata Explainability 95

Unite.AI

AUGUST 1, 2023

Prompt 1 : “Tell me about Convolutional Neural Networks.” ” Response 1 : “Convolutional Neural Networks (CNNs) are multi-layer perceptron networks that consist of fully connected layers and pooling layers. They are commonly used in image recognition tasks. .”

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Prompt Engineering Prompt Engineer ChatGPT Convolutional Neural Networks 246

Towards AI

JANUARY 23, 2025

As you already know, we recently launched our 8-hour Generative AI Primer course, a programming language-agnostic 1-day LLM Bootcamp designed for developers like you. It explains how GNNs interpret nodes and edges, using examples like cities connected by roads. Author(s): Towards AI Editorial Team Originally published on Towards AI.

Neural Network 93

Neural Network Computer Vision LLM AI 93

Marktechpost

MARCH 10, 2025

Deep neural networks’ seemingly anomalous generalization behaviors, benign overfitting, double descent, and successful overparametrization are neither unique to neural networks nor inherently mysterious. These phenomena can be understood through established frameworks like PAC-Bayes and countable hypothesis bounds.

Deep Learning 46

Deep Learning Convolutional Neural Networks Neural Network Explainability 46

Towards AI

SEPTEMBER 19, 2024

A Brief Practical Guide to LLM Quantization by Raghunaathan This practical guide provides a concise overview of LLM quantization, explaining its importance and benefits in real-world applications. It focuses on examples like the Yule model and Neural Networks, showing how they can be updated as new data comes in.

LLM 111

LLM Neural Network Large Language Models Deep Learning 111

O'Reilly Media

NOVEMBER 19, 2024

Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost. When a question gets asked, run its text through this same embedding model, determine which chunks are nearest neighbors , then present these chunks as a ranked list to the LLM to generate a response.

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LLM NLP Hybrid AI Large Language Models 127

Marktechpost

APRIL 21, 2024

Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods. It introduces learners to responsible AI and explains why it is crucial in developing AI systems.

Artificial Intelligence 137

Artificial Intelligence Artificial Intelligence BERT Large Language Models 137

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No need to train the LLM but one only has to think about Prompt design.

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Large Language Models LLM Natural Language Processing Deep Learning 98

NVIDIA

DECEMBER 4, 2023

Three technical reasons, and many stories, explain why that’s so. The large language model (LLM), trained and run on thousands of NVIDIA GPUs, runs generative AI services used by more than 100 million people. The current state-of-the-art LLM, GPT4, packs more than a trillion parameters, a metric of its mathematical density.

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Neural Network AI AI LLM 134

Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans. Check out the Paper.

Large Language Models 137

Large Language Models Neural Network Natural Language Processing LLM 137

ODSC - Open Data Science

MARCH 10, 2025

Beyond Benchmarks: Evaluating AI Agents, Multimodal Systems, and Generative AI in the RealWorld Sinan Ozdemir, AI & LLM Expert | Author | Founder + CTO at LoopGenius As AI systems advance into autonomous agents, multimodal models, and RAG workflows, traditional evaluation methods often fall short.

Data Scientist 52

Data Scientist Data Science LLM Machine Learning 52

Unite.AI

MAY 8, 2024

The most crucial point during this process was when I learned about neural networks and deep learning. Could you explain how Perplexity utilizes RAG differently compared to other platforms, and how this impacts search result accuracy? RAG is a general concept for providing external knowledge to an LLM.

Machine Learning 292

Machine Learning Software Engineer Large Language Models Data Analysis 292

Flipboard

JUNE 20, 2023

In this guide , we explain the key terms in the field and why they matter. It imitates how the human brain works using artificial neural networks (explained below), allowing the AI to learn highly complex patterns in data. Neural networks Neural networks are found in the human brain.

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Neural Network Deep Learning Machine Learning Artificial Intelligence 158

Marktechpost

AUGUST 5, 2024

Conventional methods involve training neural networks from scratch using gradient descent in a continuous numerical space. In contrast, the emerging technique focuses on optimizing input prompts for LLMs in a discrete natural language space. This transition presents a fascinating dichotomy in optimization approaches.

Machine Learning 119

Machine Learning Neural Network LLM Prompt Engineer 119

Towards AI

JUNE 27, 2024

What’s AI Weekly Have you ever wondered how we can determine which LLM is superior exactly? Featured Community post from the Discord Notedance created a repository to make building and training neural networks easy. The layer modules allow you to build neural networks in the style of PyTorch or Keras.

LLM 75

LLM Neural Network ChatGPT Explainability 75

Towards AI

AUGUST 8, 2024

Take advantage of the current deal offered by Amazon (depending on location) to get our recent book, “Building LLMs for Production,” with 30% off right now! Featured Community post from the Discord Arwmoffat just released Manifest, a tool that lets you write a Python function and have an LLM execute it. Our must-read articles 1.

Neural Network 111

Neural Network Metadata Explainability LLM 111

Towards AI

JUNE 30, 2024

I’ll share the full source code of the 4-bit quantizer at the end of this post and explain the technique I have used to build this 4-bit quantizer. Note: This quantizer can be used to quantize any open-source LLM such as Llama 3, Mistral etc (provided you’ve sufficient resources — processing and memory). pip install transformers# !pip

Neural Network 119

Neural Network Explainability Large Language Models LLM 119

Flipboard

MARCH 18, 2025

It offers code auto-completions, and not just of single linesit can generate entire sections of code, and then explain the reasoning behind them. Or the developer can explain a new feature or function in plain language and the AI will code a prototype of it. Anysphere says Cursor now has more than 40,000 customers.

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Large Language Models AI AI OpenAI 135

Marktechpost

JANUARY 14, 2024

These intricate systems use neural networks to interpret and respond to linguistic inputs. Patchscopes is a technique that extracts specific information from the hidden layers of an LLM and separates it into different inference processes.

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Large Language Models AI Research AI Researcher Neural Network 140

Marktechpost

APRIL 26, 2024

Notable examples include CrossBeam, which leverages execution states in sequence-to-sequence models, and specialized neural architectures like the instruction pointer attention graph neural networks.

Machine Learning 140

Machine Learning Large Language Models Software Development Neural Network 140

Marktechpost

MAY 30, 2024

It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow. Introduction to Generative AI This introductory microlearning course explains Generative AI, its applications, and its differences from traditional machine learning. It also introduces Google’s 7 AI principles.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

Marktechpost

JULY 5, 2024

Claude AI, a leading large language model (LLM) developed by Anthropic, represents a significant leap in artificial intelligence technology. Code Generation: Claude AI can generate code snippets, understand various programming languages, explain code functionality, and assist in debugging.

Large Language Models 117

Large Language Models Neural Network ChatGPT Explainability 117

Marktechpost

MAY 29, 2024

This article lists the top AI courses NVIDIA provides, offering comprehensive training on advanced topics like generative AI, graph neural networks, and diffusion models, equipping learners with essential skills to excel in the field. It also covers how to set up deep learning workflows for various computer vision tasks.

Neural Network 91

Neural Network Natural Language Processing Large Language Models Deep Learning 91

IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Connectionist AI (artificial neural networks): This approach is inspired by the structure and function of the human brain.

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Neural Network LLM Algorithm NLP 256

Marek Rei

NOVEMBER 4, 2024

link] The paper investigates LLM robustness to prompt perturbations, measuring how much task performance drops for different models with different attacks. link] The paper proposes query rewriting as the solution to the problem of LLMs being overly affected by irrelevant information in the prompts. ArXiv 2023. Oliveira, Lei Li.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

Marktechpost

JUNE 9, 2024

It explains the differences between hand-coded algorithms and trained models, the relationship between machine learning and AI, and the impact of data types on training. It also explores neural networks, their components, and the complexity of deep learning.

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Artificial Intelligence Artificial Intelligence Natural Language Processing Large Language Models 97