Analytics Vidhya

JANUARY 14, 2024

Departing from the strategies of most Language Models (LLMs), Mixtral 8x7B is a fascinating […] The post Discover the Groundbreaking LLM Development of Mixtral 8x7B appeared first on Analytics Vidhya.

LLM 318

LLM Neural Network 318

AI News

FEBRUARY 16, 2024

“While a traditional Transformer functions as one large neural network, MoE models are divided into smaller ‘expert’ neural networks,” explained Demis Hassabis, CEO of Google DeepMind. This specialisation massively enhances the model’s efficiency.” Developers interested in testing Gemini 1.5 Pro can sign up in AI Studio.

Neural Network 341

Neural Network Big Data Explainability LLM 341

Marktechpost

JUNE 18, 2024

Two notable research papers contribute to this development: “Bayesian vs. PAC-Bayesian Deep Neural Network Ensembles” by University of Copenhagen researchers and “Deep Bayesian Active Learning for Preference Modeling in Large Language Models” by University of Oxford researchers.

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Neural Network Large Language Models Machine Learning LLM 131

Marktechpost

FEBRUARY 1, 2025

However, the unpredictable nature of real-world data, coupled with the sheer diversity of tasks, has led to a shift toward more flexible and robust frameworks, particularly reinforcement learning and neural network-based approaches. LLM-Based Reasoning (GPT-4 Chain-of-Thought) A recent development in AI reasoning leverages LLMs.

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LLM Robotics Neural Network Large Language Models 103

Unite.AI

DECEMBER 13, 2024

Technologies such as Recurrent Neural Networks (RNNs) and transformers introduced the ability to process sequences of data and paved the way for more adaptive AI. On the technical side, implementing persistent memory in LLMs often involves combining advanced storage solutions with efficient retrieval mechanisms.

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LLM Neural Network Chatbots AI 246

AssemblyAI

APRIL 5, 2024

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community LeMUR Cookbooks: Build Audio LLM Apps LeMUR  is the easiest way to code applications that apply LLMs to speech.

LLM 162

LLM Neural Network Python Large Language Models 162

Unite.AI

FEBRUARY 19, 2025

A typical LLM using CoT prompting might solve it like this: Determine the regular price: 7 * $2 = $14. A human can infer such a rule immediately, but an LLM cannot as it simply follows a structured sequence of calculations. LLMs, however, lack a genuine symbolic reasoning mechanism. Compute the discount: 7 * $1 = $7.

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Large Language Models LLM Neural Network OpenAI 182

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 105

Neural Network LLM Explainability NLP 105

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

Marktechpost

DECEMBER 21, 2023

ReLoRA accomplishes a high-rank update, delivering a performance akin to conventional neural network training. link] Scaling laws have been identified, demonstrating a strong power-law dependence between network size and performance across different modalities, supporting overparameterization and resource-intensive neural networks.

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Neural Network Machine Learning AI AI 127

AI News

DECEMBER 7, 2023

He outlined key attributes of neural networks, embeddings, and transformers, focusing on large language models as a shared foundation. Neural networks — described as probabilistic and adaptable — form the backbone of AI, mimicking human learning processes.

Big Data 329

Big Data Neural Network Large Language Models AI 329

AssemblyAI

MAY 3, 2023

These architectures are based on artificial neural networks , which are computational models loosely inspired by the structure and functioning of biological neural networks, such as those in the human brain. A simple artificial neural network consisting of three layers. Et voilà !

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

Unite.AI

MAY 17, 2024

This training data exposes the LLM to the intricate patterns and nuances of human language. At the heart of these LLMs lies a sophisticated neural network architecture called a transformer. This allows the LLM to understand each word's context and predict the most likely word to follow in the sequence.

LLM 162

LLM Large Language Models Neural Network Artificial Intelligence 162

Unite.AI

OCTOBER 17, 2024

During training, each row of data as it passes through the network–called a neural network–modifies the equations at each layer of the network so that the predicted output matches the actual output. As the data in a training set is processed, the neural network learns how to predict the outcome.

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Neural Network Convolutional Neural Networks Large Language Models Computer Vision 263

Flipboard

DECEMBER 26, 2024

The ever-growing presence of artificial intelligence also made itself known in the computing world, by introducing an LLM-powered Internet search tool, finding ways around AIs voracious data appetite in scientific applications, and shifting from coding copilots to fully autonomous coderssomething thats still a work in progress. Perplexity.ai

Software Engineer 177

Software Engineer BERT Artificial Intelligence Artificial Intelligence 177

Unite.AI

FEBRUARY 25, 2025

This innovation enables the first formal model and verification of the new IEEE P3109 standard for small (<16 bit) binary floating-point formats, essential for neural network quantization and distillation. For industries reliant on neural networks, ensuring robustness and safety is critical.

Automation 100

Automation Neural Network Explainability Algorithm 100

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

Towards AI

MARCH 12, 2025

🔎 Decoding LLM Pipeline Step 1: Input Processing & Tokenization 🔹 From Raw Text to Model-Ready Input In my previous post, I laid out the 8-step LLM pipeline, decoding how large language models (LLMs) process language behind the scenes. Tokens: Fundamental unit that neural networks process.

LLM 54

LLM BERT Neural Network Metadata 54

Marktechpost

MARCH 20, 2024

A team of researchers from Apple introduced ReDrafter , a method that ingeniously combines the strengths of speculative decoding with the adaptive capabilities of recurrent neural networks (RNNs). In conclusion, the advent of ReDrafter by the Apple research team represents a paradigm shift in the pursuit of efficient LLM processing.

Neural Network 124

Neural Network Large Language Models Conversational AI Machine Learning 124

Unite.AI

JULY 30, 2024

This is essentially a neuro-symbolic approach, where the neural network, Gemini, translates natural language instructions into the symbolic formal language Lean to prove or disprove the statement. The LLM in AlphaGeometry predicts new geometric constructs, while the symbolic AI applies formal logic to generate proofs.

Neural Network 278

Neural Network LLM AI AI 278

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 298

Neural Network Deep Learning Machine Learning AI 298

Unite.AI

MAY 29, 2024

Unlike sequential models, LLMs optimize resource distribution, resulting in accelerated data extraction tasks. This architecture, leveraging neural networks like RNNs and Transformers, finds applications in diverse domains, including machine translation, image generation, speech synthesis, and data entity extraction.

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Data Extraction Neural Network Large Language Models NLP 273

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

Snorkel AI

MARCH 26, 2025

LLM-as-Judge has emerged as a powerful tool for evaluating and validating the outputs of generative models. LLMs (and, therefore, LLM judges) inherit biases from their training data. In this article, well explore how enterprises can leverage LLM-as-Judge effectively , overcome its limitations, and implement best practices.

LLM 52

LLM Data Scientist Prompt Engineer Prompt Engineering 52

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. The goal is to merge the intuitive data processing abilities of neural networks with the structured, logical reasoning of symbolic AI.

AI Modeling 303

AI Modeling Neural Network Large Language Models AI 303

Marktechpost

APRIL 25, 2024

In this article, we delve into 25 essential terms to enhance your technical vocabulary and provide insights into the mechanisms that make LLMs so transformative. Heatmap representing the relative importance of terms in the context of LLMs Source: marktechpost.com 1.

Large Language Models 129

Large Language Models LLM Neural Network Natural Language Processing 129

Marktechpost

OCTOBER 10, 2024

LLMs, particularly transformer-based models, have advanced natural language processing, excelling in tasks through self-supervised learning on large datasets. Recent studies show LLMs can handle diverse tasks, including regression, using textual representations of parameters. Tx-LLM was fine-tuned from PaLM-2 using this data.

Large Language Models 134

Large Language Models LLM Neural Network Natural Language Processing 134

Unite.AI

APRIL 1, 2024

The framework then trains the entire parameters of the LLM to pre-empower the Large Vision Language Model with a general multi-modal understanding capabilities. Finally, in the third stage, the framework replicates the FFN or Feed Forward Network as the initialization weights for the experts, and trains only the Mixture of Expert layers.

Large Language Models 227

Large Language Models Neural Network LLM Natural Language Processing 227

Marktechpost

JANUARY 15, 2024

Transformers have taken over from recurrent neural networks (RNNs) as the preferred architecture for natural language processing (NLP). The study also reports a significant reduction in LLM cache size, up to 88%, leading to reduced memory consumption during inference. Check out the Paper.

Neural Network 112

Neural Network Natural Language Processing LLM NLP 112

Unite.AI

FEBRUARY 7, 2024

But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

Marktechpost

JANUARY 20, 2025

The traditional approach to the automation of radiology reporting is based on convolutional neural networks (CNNs) or visual transformers to extract features from images. Such image-processing techniques often combine with transformers or recurrent neural networks (RNNs) to generate textual outputs.

Automation 81

Automation Convolutional Neural Networks Natural Language Processing Neural Network 81

Towards AI

MARCH 6, 2025

Image credits Cartoon Movement LLM pre-training and post-training The training of an LLM can be separated into a pre-training and post-training phase: Pre-training: Here the LLM is taught to predict the next word/token. But first, lets understand how these models employ Reinforcement Learning.

ChatGPT 90

ChatGPT LLM Neural Network Algorithm 90

AI News

AUGUST 9, 2023

These include fourth-generation Tensor Cores, a new Transformer Engine for enhanced LLM acceleration, and NVLink technology that propels inter-GPU communication to unprecedented speeds of 900GB/sec. The newly introduced ND H100 v5 VMs hold immense potential for training and inferring increasingly intricate LLMs and computer vision models.

Neural Network 243

Neural Network Big Data Computer Vision Large Language Models 243

AssemblyAI

MARCH 8, 2024

Fresh From Our Blog Extract phone call insights with LLMs in Python : Learn how to automatically extract insights from customer calls with Large Language Models (LLMs) and Python.    Read more>> How to do Speech-To-Text with Go : Integrate speech recognition into your Go application in only a few lines of code.

Neural Network 147

Neural Network LLM Prompt Engineer Prompt Engineering 147

Towards AI

JANUARY 21, 2025

we see that the output of the attention block is normalized (Layer Norm), fed into a neural network (Feed forward), softmaxed, and finally runs through a multinomial distribution. These tokens are known to the LLM and will be represented by an internal number for further processing. On the right side of Fig.

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Algorithm ChatGPT Large Language Models Neural Network 105

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 221