Towards AI

MARCH 12, 2025

Last Updated on March 12, 2025 by Editorial Team Author(s): Ecem Karaman Originally published on Towards AI. Normalization Trade-off: GPT models preserve formatting & nuance (more token complexity); BERT aggressively cleans text simpler tokens, reduced nuance, ideal for structured tasks. GPT-4 and GPT-3.5

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LLM BERT Neural Network Metadata 55

Unite.AI

APRIL 25, 2024

Recent innovations include the integration and deployment of Large Language Models (LLMs), which have revolutionized various industries by unlocking new possibilities. More recently, LLM-based intelligent agents have shown remarkable capabilities, achieving human-like performance on a broad range of tasks. Let's dive in.

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LLM Large Language Models Software Development BERT 200

Towards AI

OCTOBER 31, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! We’re also excited to share updates on Building LLMs for Production, now available on our own platform: Towards AI Academy. Learn AI Together Community section! AI poll of the week! Enjoy the read!

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LLM NLP BERT Large Language Models 116

Unite.AI

FEBRUARY 7, 2024

This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses. LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

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Machine Learning Large Language Models LLM BERT 294

Marktechpost

JANUARY 12, 2025

Artificial Intelligence (AI) is revolutionizing how discoveries are made. AI is creating a new scientific paradigm with the acceleration of processes like data analysis, computation, and idea generation. to close the gap between BERT-base and BERT-large performance. improvement over baseline models.

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Auto-classification Automation Auto-complete BERT 84

Marktechpost

MARCH 3, 2025

Encoder models like BERT and RoBERTa have long been cornerstones of natural language processing (NLP), powering tasks such as text classification, retrieval, and toxicity detection. While newer models like GTE and CDE improved fine-tuning strategies for tasks like retrieval, they rely on outdated backbone architectures inherited from BERT.

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BERT Data Scarcity Natural Language Processing Large Language Models 75

Marktechpost

NOVEMBER 19, 2024

LLMs, like GPT-4 and Llama 3, have shown promise in handling such tasks due to their advanced language comprehension. Current LLM-based methods for anomaly detection include prompt engineering, which uses LLMs in zero/few-shot setups, and fine-tuning, which adapts models to specific datasets.

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Large Language Models BERT Prompt Engineering Prompt Engineer 80

Towards AI

NOVEMBER 6, 2024

Author(s): Nilesh Raghuvanshi Originally published on Towards AI. This comprehensive documentation serves as the foundational knowledge base for code generation by providing the LLM with the necessary context to understand and generate SimTalk code. Additionally, we used a mix of code and language-specific models.

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Metadata LLM BERT OpenAI 119

AWS Machine Learning Blog

JANUARY 7, 2025

It is critical for AI models to capture not only the context, but also the cultural specificities to produce a more natural sounding translation. One of LLMs most fascinating strengths is their inherent ability to understand context. However, the industry is seeing enough potential to consider LLMs as a valuable option.

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Large Language Models Prompt Engineering Prompt Engineer Metadata 114

Marktechpost

SEPTEMBER 28, 2024

In the age of data-driven artificial intelligence, LLMs like GPT-3 and BERT require vast amounts of well-structured data from diverse sources to improve performance across various applications. It not only collects data from websites but also processes and cleans it into LLM-friendly formats like JSON, cleaned HTML, and Markdown.

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LLM Metadata Data Extraction BERT 134

Bugra Akyildiz

DECEMBER 28, 2024

Speculative decoding applies the principle of speculative execution to LLM inference. The process involves two main components: A smaller, faster "draft" model The larger target LLM The draft model generates multiple tokens in parallel, which are then verified by the target model.

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LLM Large Language Models BERT Python 52

Towards AI

MARCH 3, 2025

Author(s): Elangoraj Thiruppandiaraj Originally published on Towards AI. Thats where a newer technique Ive been exploring comes in: using Large Language Model (LLM) embeddings to spot subtle irregularities. Join thousands of data leaders on the AI newsletter. Published via Towards AI This member-only story is on us.

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LLM BERT Large Language Models AI 100

Unite.AI

JULY 9, 2024

LLM watermarking, which integrates imperceptible yet detectable signals within model outputs to identify text generated by LLMs, is vital for preventing the misuse of large language models. Conversely, the Christ Family alters the sampling process during LLM text generation, embedding a watermark by changing how tokens are selected.

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LLM Large Language Models Algorithm Automation 130

Unite.AI

DECEMBER 1, 2023

Machine learning , a subset of AI, involves three components: algorithms, training data, and the resulting model. This obscurity makes it challenging to understand the AI's decision-making process. AI black boxes are systems whose internal workings remain opaque or invisible to users. Impact of the LLM Black Box Problem 1.

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LLM Machine Learning Explainability Algorithm 264

Unite.AI

MAY 8, 2024

Trained on massive text corpora with billions of parameters, LLMs exhibit remarkable few-shot learning abilities, generalization across tasks, and commonsense reasoning skills that were once thought to be extremely challenging for AI systems.

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Neural Network Large Language Models LLM BERT 182

Unite.AI

JULY 11, 2023

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset. billion in 2023.

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Generative AI BERT Natural Language Processing Large Language Models 189

Unite.AI

OCTOBER 23, 2023

Over the past few years, Large Language Models (LLMs) have garnered attention from AI developers worldwide due to breakthroughs in Natural Language Processing (NLP). The ability of LLM to generate multimodal data seamlessly will help in enhancing interactions across different domains including e-commerce, media, and virtual reality.

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Large Language Models LLM Natural Language Processing BERT 312

Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA's TensorRT-LLM steps in to address this challenge by providing a set of powerful tools and optimizations specifically designed for LLM inference.

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Large Language Models LLM Natural Language Processing Auto-complete 130

AssemblyAI

MAY 3, 2023

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests.

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Large Language Models Neural Network LLM ChatGPT 363

Towards AI

FEBRUARY 19, 2024

Author(s): Tim Cvetko Originally published on Towards AI. I would never have put my finger that the next big revolution in AI would have happened on the text front. Self-Play LLMs Reinforcement learning from human feedback(RLHF) refers to using human labels as a reward policy the LLM uses to evaluate itself. into ChatGPT?

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LLM BERT OpenAI ChatGPT 105

Marktechpost

JULY 1, 2024

Researchers from UC Berkeley, Anyscale, and Canva propose RouteLLM , an open-source LLM routing framework that effectively balances price and performance to address this issue. Challenges in LLM Routing LLM routing aims to determine which model should handle each query to minimize costs while maintaining response quality.

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LLM BERT Large Language Models Chatbots 125

Marktechpost

MAY 12, 2024

Many works have been carried out to enhance the model efficiency for LLMs, e.g., one such method is to skip multiple tokens at a particular time stamp. However, these models are only applied to non-autoregressive models and require an extra re-training phrase, making them less suitable for auto-regressive LLMs like ChatGPT and Llama.

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LLM Auto-complete Large Language Models BERT 120

AssemblyAI

JUNE 27, 2023

Over the past decade, we've witnessed significant advancements in AI-powered audio generation techniques, including music and speech synthesis. This blog post is part of a series on generative AI. This shift has led to dramatic improvements in speech recognition and several other applications of discriminative AI.

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Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Source: A pipeline on Generative AI This figure of a generative AI pipeline illustrates the applicability of models such as BERT, GPT, and OPT in data extraction.

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Data Extraction Neural Network Large Language Models NLP 273

Marktechpost

SEPTEMBER 30, 2024

As LLMs continue to grow in scale, reaching hundreds of billions to even trillions of parameters, concerns arise about the accessibility of AI research, with some fearing it may become confined to industry researchers. Researchers have explored various approaches to enhance LLM performance by manipulating intermediate embeddings.

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LLM Large Language Models BERT Artificial Intelligence 113

Marktechpost

APRIL 25, 2024

Understanding the terminology, from the foundational aspects of training and fine-tuning to the cutting-edge concepts of transformers and reinforcement learning, is the first step towards demystifying the powerful algorithms that drive modern AI language systems. This process is foundational for developing any AI that handles language tasks.

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Large Language Models LLM Neural Network Natural Language Processing 130

Unite.AI

AUGUST 1, 2023

The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. Such sophisticated and accessible AI models are poised to redefine the future of work, learning, and creativity. The Impact of Prompt Quality Using well-defined prompts is the key to engaging in useful and meaningful conversations with AI systems.

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Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

Towards AI

OCTOBER 19, 2024

Last Updated on October 19, 2024 by Editorial Team Author(s): Allohvk Originally published on Towards AI. Quantization explained in plain English When BERT was released around 5 years ago, it triggered a wave of Large Language Models with ever increasing sizes. Photo by Jeremy Lanfranchi on Unsplash An LLM is not too different.

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Explainability LLM BERT Large Language Models 105

Marktechpost

APRIL 21, 2024

The following six free AI courses offer a structured pathway for beginners to start their journey into the world of artificial intelligence. 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.

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Artificial Intelligence Artificial Intelligence BERT Large Language Models 137

Marktechpost

JULY 9, 2024

Some approaches focus on aligning retrievers with LLM needs, while others explore multi-step retrieval processes or context-filtering methods. Instruction-tuning techniques have been developed to enhance both search capabilities and the RAG performance of LLMs. The 8B parameter version consistently outperforms ChatQA-1.5

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LLM Large Language Models Natural Language Processing BERT 130

Unite.AI

NOVEMBER 7, 2023

Furthermore, empirically enumerating all the possible designs for training LLMs over 100B parameters is computationally unaffordable which makes it even more critical to come up with a pre-training method for large scale LLM frameworks. With that being said, let’s have a look at GLM-130B’s architecture.

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LLM Large Language Models Neural Network BERT 258

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 training examples are needed in LLM Development but it’s needed in Traditional Development.

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Large Language Models LLM Natural Language Processing Deep Learning 98

IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data.

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Unite.AI

DECEMBER 4, 2023

In the ever-evolving domain of Artificial Intelligence (AI), where models like GPT-3 have been dominant for a long time, a silent but groundbreaking shift is taking place. GPT-4 pushes the boundaries of language AI with an unbelievable 1.76 The Bottom Line In conclusion, SLMs represent a significant advancement in the field of AI.

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Large Language Models BERT Neural Network Natural Language Processing 217

Marktechpost

JUNE 19, 2023

From producing unique and creative content and questioning answers to translating languages and summarizing textual paragraphs, LLMs have been successful in imitating humans. Some well-known LLMs like GPT, BERT, and PaLM have been in the headlines for accurately following instructions and accessing vast amounts of high-quality data.

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Large Language Models LLM BERT AI Tools 120

Marktechpost

FEBRUARY 12, 2024

SLIMs join existing small, specialized model families from LLMWare – DRAGON , BLING , and Industry – BERT — along with the LLMWare development framework, to create a comprehensive set of open-source models and data pipelines to address a wide range of complex enterprise RAG use cases.

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