Marktechpost

FEBRUARY 27, 2024

Its development responds to the pressing need for a unified interface that simplifies complex LLM workflows, making them more accessible and manageable for researchers. DataDreamer offers a suite of functionalities that significantly lower the barriers to effective LLM use. Check out the Paper and Github.

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LLM Large Language Models Python NLP 138

Marktechpost

MARCH 6, 2024

The natural language processing (NLP) field has witnessed significant advancements with the emergence of Large Language Models (LLMs) like GPT and LLaMA. These models have become essential tools for various tasks, prompting a growing need for proprietary LLMs among individuals and organizations.

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LLM Large Language Models Neural Network Natural Language Processing 109

Marktechpost

APRIL 12, 2024

Natural Language Processing (NLP) tasks heavily rely on text embedding models as they translate the semantic meaning of text into vector representations. These representations make it possible to quickly complete a variety of NLP tasks, including information retrieval, grouping, and semantic textual similarity. Million AI Audience?

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LLM Large Language Models NLP Natural Language Processing 109

Marktechpost

SEPTEMBER 13, 2023

Lately, Large language models (LLMs) are excelling in NLP and multimodal tasks but are facing two significant challenges: high computational costs and difficulties in conducting fair evaluations. These costs limit LLM development to a few major players, restricting research and applications. Check out the Paper and Code.

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LLM Large Language Models NLP AI Researcher 128

Marktechpost

NOVEMBER 9, 2023

These Natural Language Processing (NLP) based models handle large and complicated datasets, which causes them to face a unique challenge in the finance industry. They are drawn from both self-constructed and available NLP datasets. They aim to answer inquiries and offer guidance on financial matters.

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Marktechpost

MARCH 19, 2024

IBM researchers have introduced LAB (Large-scale Alignment for chatbots) to address the scalability challenges encountered during the instruction-tuning phase of training large language models (LLMs). In conclusion, the paper introduces LAB as a novel methodology to address the scalability challenges in instruction tuning for LLMs.

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Large Language Models LLM Natural Language Processing Chatbots 130

John Snow Labs

JULY 5, 2023

We are delighted to announce the release of Spark NLP 5.0, We are delighted to announce the release of Spark NLP 5.0, With this support, you can look forward to faster inference, automatic optimization, and quantization when exporting your LLM models. Spark NLP ONNX Introducing support for ONNX Runtime in Spark NLP.

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NLP BERT LLM Inference Engine 52

Unite.AI

DECEMBER 1, 2023

Exploring the Techniques of LIME and SHAP Interpretability in machine learning (ML) and deep learning (DL) models helps us see into opaque inner workings of these advanced models. SHAP ( Source ) Both LIME and SHAP have emerged as essential tools in the realm of AI and ML, addressing the critical need for transparency and trustworthiness.

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LLM Machine Learning Explainability Algorithm 264

Marktechpost

FEBRUARY 3, 2024

MambaByte MOE Token-free language models have represented a significant shift in Natural Language Processing (NLP), as they learn directly from raw bytes, bypassing the biases inherent in subword tokenization. Using a technique known as LLM-as-a-Judge prompting, the language model assesses and rewards its own outputs for doing this.

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Artificial Intelligence Artificial Intelligence LLM Large Language Models 139

Marktechpost

DECEMBER 30, 2023

The model was trained on various tasks for offline alignment, including general instruction following and specific NLP tasks like summarization. For instance, when trained with a modest amount of judgment data, the LLM fine-tuned using CUT surpassed the performance of larger models like DaVinci003 in certain evaluations.

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LLM AI AI NLP 123

Topbots

FEBRUARY 19, 2024

However, building a successful LLM application involves much more than just leveraging advanced technology. When embarking on the journey of building an LLM application, one of the first and most crucial decisions is choosing the foundation model. Create Targeted Evaluation Sets for Comparing LLM Performance in Your Specific Use Case.

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LLM Natural Language Processing Automation Data Ingestion 64

Marktechpost

APRIL 29, 2024

These state-of-the-art Large Language Models (LLMs) have the potential to completely transform medical natural language processing (NLP) by establishing new standards for functionality and performance in the biomedical field. The release of these models marks a substantial advancement in medical-domain LLM technology.

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Large Language Models Natural Language Processing NLP LLM 143

John Snow Labs

OCTOBER 16, 2023

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). billion by 2028, LLMs play a pivotal role in this growth trajectory. At the recent NLP Summit, experts from academia and industry shared their insights.

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Large Language Models NLP Metadata LLM 52

Marktechpost

APRIL 26, 2024

Graph Machine Learning (Graph ML), especially Graph Neural Networks (GNNs), has emerged to effectively model such data, utilizing deep learning’s message-passing mechanism to capture high-order relationships. Foundation Models (FMs) have revolutionized NLP and vision domains in the broader AI spectrum.

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Large Language Models Machine Learning Neural Network Deep Learning 136

Flipboard

JULY 3, 2023

Particularly after using reinforcement learning with human input, the intrinsic confidence score from the generative LLMs is sometimes unavailable or not effectively calibrated with regard to the intended aim. Heuristic techniques are costly to compute and are subject to bias from the LLM itself, such as sampling an ensemble of LLM answers.

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LLM Large Language Models AI Tools NLP 104

John Snow Labs

SEPTEMBER 26, 2023

Experts Share Perspectives on How Advanced NLP Technologies Will Shape Their Industries and Unleash Better & Faster Results. to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” billion by the end of 2030.

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NLP Large Language Models LLM Data Scientist 52

Marktechpost

MARCH 3, 2024

Central to Natural Language Processing (NLP) advancements are large language models (LLMs), which have set new benchmarks for what machines can achieve in understanding and generating human language. One of the primary challenges in NLP is the computational demand for autoregressive decoding in LLMs.

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Machine Learning AI Researcher AI Research Large Language Models 132

Marktechpost

JULY 7, 2023

They considered all the projects that fit these criteria: Projects must have been created eight months ago or less (approx November 2022, to June 2023, at the time of this paper’s publication) Projects are related to the topics: LLM, ChatGPT, Open-AI, GPT-3.5, or GPT-4 Projects must have at least 3,000 stars on GitHub.

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LLM Explainability Large Language Models Machine Learning 109

Snorkel AI

NOVEMBER 16, 2023

A decade ago, you needed ML Ph. But now those same teams must contend with enterprise LLM challenges. This summer, I gave a presentation titled “Leveraging Foundation Models and LLMs for Enterprise-Grade NLP” at Snorkel AI’s Future of Data-Centric AI virtual conference. Off-the-shelf LLMs come with high costs.

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LLM Large Language Models ML NLP 59

Marktechpost

JULY 20, 2023

Natural language processing (NLP) has seen a paradigm shift in recent years, with the advent of Large Language Models (LLMs) that outperform formerly relatively tiny Language Models (LMs) like GPT-2 and T5 Raffel et al. on a variety of NLP tasks. Figure 1 depicts a sample of the summarising job.

LLM 98

LLM AI Researcher AI Research Prompt Engineer 98

Snorkel AI

NOVEMBER 16, 2023

A decade ago, you needed ML Ph. But now those same teams must contend with enterprise LLM challenges. This summer, I gave a presentation titled “Leveraging Foundation Models and LLMs for Enterprise-Grade NLP” at Snorkel AI’s Future of Data-Centric AI virtual conference. Off-the-shelf LLMs come with high costs.

LLM 52

LLM Large Language Models ML NLP 52

Marktechpost

JANUARY 26, 2024

These are used in various natural language processing (NLP) tasks, such as dialogue systems, machine translation, information retrieval, etc. There has been thorough research in LLMs to formulate new useful models in NLP. In this, the LLM acts as a plugin and function call system. Check out the Paper and Model.

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Large Language Models Natural Language Processing LLM NLP 130

Marktechpost

JULY 2, 2023

Thus, exposure to a broader range of knowledge allows LLMs to provide more accurate and contextually relevant answers to user queries. Yet, despite the numerous potential use cases, most available open-source LLMs, ranging from Meta’s LLaMA to MosaicML’s MPT LLM models, have been trained on sequences with a maximum of 2K tokens.

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LLM Large Language Models AI Tools Artificial Intelligence 109

Unite.AI

JULY 11, 2023

What is Generative Artificial Intelligence, how it works, what its applications are, and how it differs from standard machine learning (ML) techniques. This course explores LLMs (Large Language Models) – AI models trained on large amounts of textual data. Understand how LLMs are used for sentiment analysis.

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ODSC - Open Data Science

JULY 13, 2023

Why Owning Your Own LLM Model is Critical — and Within Reach Many think that only the biggest companies can afford to build their own large language model. But in fact, owning your own LLM is quite feasible. Sign up for free and learn all about deep learning and NLP. What Can AI Teach Us About Data Centers?

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Machine Learning LLM Large Language Models Data Scientist 52

Marktechpost

AUGUST 19, 2023

It allows for very fast similarity search, essential for many AI uses such as recommendation systems, picture recognition, and NLP. Also, don’t forget to join our 28k+ ML SubReddit , 40k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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Metadata LLM Python Big Data 97

Topbots

AUGUST 22, 2023

Large Language Models (LLMs) present a unique challenge when it comes to performance evaluation. Unlike traditional machine learning where outcomes are often binary, LLM outputs dwell in a spectrum of correctness. auto-evaluation) and using human-LLM hybrid approaches. Consider harnessing LLMs for building an evaluation set.

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LLM Auto-complete Large Language Models Machine Learning 52

Marktechpost

APRIL 30, 2024

Previous studies have proposed that LLMs demonstrate considerable generalization abilities, allowing them to apply learned knowledge to new tasks not encountered during training, a phenomenon known as zero-shot learning. However, fine-tuning remains crucial to optimize LLM performance on robust user datasets and tasks.

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Salmon Run

FEBRUARY 24, 2024

I got into Natural Language Processing (NLP) and Machine Learning (ML) through Search. RAG started out relatively simple -- take a query, generate search results, use search results as context for a Large Language Model (LLM) to generate an abstractive summary of the results.

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Large Language Models Natural Language Processing NLP Machine Learning 59

Marktechpost

MARCH 1, 2024

They need help to differentiate between the core content and the myriad of distractions like advertisements, pop-ups, and irrelevant hyperlinks, leading to the collection of noisy data that can dilute the quality of LLM training sets. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

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Large Language Models Data Extraction Neural Network LLM 135

Mlearning.ai

JULY 4, 2023

This is probably the easiest way to run an LLM for free on your PC Created using Midjourney. If you would like to be able to test different LLMs locally for free and happen to have a GPU powered PC at home you’re in luck — thanks to the wonderful Open Source community, running different LLMs on Windows is very straightforward.

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LLM Auto-complete Python ML 98

Marktechpost

FEBRUARY 4, 2024

Natural Language Processing (NLP) is one area where Large transformer-based Language Models (LLMs) have achieved remarkable progress in recent years. Also, LLMs are branching out into other fields, like robotics, audio, and medicine. On the other hand, LLMs aren’t as good as diffusion models.

Natural Language Processing 131

Natural Language Processing LLM Robotics NLP 131

John Snow Labs

NOVEMBER 6, 2023

Machine Learning (ML) has seen exponential growth in recent years. Enter MLFlow and LangTest: two tools that, when combined, create a revolutionary approach to ML development. On the other hand, LangTest has emerged as a transformative force in the realm of Natural Language Processing (NLP) and Large Language Model (LLM) evaluation.

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ML Natural Language Processing BERT Large Language Models 52

Marktechpost

MAY 7, 2024

This tailored scorer is designed to align with the LLM’s internal structure, ensuring the retrieved data is highly relevant to the query. In practical terms, BiomedRAG simplifies the integration of new information into LLMs by eliminating the need for complex mechanisms like cross-attention.

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Large Language Models Data Analysis LLM NLP 113

Mlearning.ai

AUGUST 22, 2023

Created by DALL-E LLM (Large Language Model) leverages a unified way to consume, analyze, search and train this volume of data, LLMs use a language for a unified representation of unstructured data — Embeddings. Submission Suggestions Unravel LLM building blocks was originally published in MLearning.ai

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LLM OpenAI Neural Network Large Language Models 52

Marktechpost

MARCH 11, 2024

The ability of Large Language Models (LLMs) to solve tasks related to Natural Language Processing (NLP) and Natural Language Generation (NLG) using few-shot reasoning has led to an increase in their popularity. However, more research is still needed on the subject of LLMs’ comprehension of organised data, including tables.

Machine Learning 132

Machine Learning Large Language Models Natural Language Processing LLM 132

ODSC - Open Data Science

MAY 18, 2023

With training data, if an LLM is jailbroken, all of that data can be exploited. Poisoned Data Poisoned data — whether numbers, images, text, video, or other — is a known culprit for many issues within ML safety and cybersecurity. Using Large Language Models in Julia How to bring your data to LLMs? How to evaluate them?

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