Marktechpost

OCTOBER 19, 2024

Recent advancements in large language models (LLMs) have significantly enhanced their ability to handle long contexts, making them highly effective in various tasks, from answering questions to complex reasoning. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 102

Large Language Models Inference Engine ML AI 102

Marktechpost

OCTOBER 18, 2024

Large language models (LLMs) have revolutionized how machines process and generate human language, but their ability to reason effectively across diverse tasks remains a significant challenge. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 112

Large Language Models Inference Engine AI AI 112

Marktechpost

OCTOBER 17, 2024

One of the biggest hurdles organizations face is implementing Large Language Models (LLMs) to handle intricate workflows effectively. Issues of speed, flexibility, and scalability often hinder the automation of complex workflows requiring coordination across multiple systems. If you like our work, you will love our newsletter.

Large Language Models 108

Large Language Models Inference Engine Automation Data Scientist 108

Marktechpost

OCTOBER 27, 2024

Formal theorem proving has emerged as a critical benchmark for assessing the reasoning capabilities of large language models (LLMs), with significant implications for mathematical automation. Each approach brought specific innovations but remained limited in handling the comprehensive requirements of formal theorem proving.

Large Language Models 100

Large Language Models Metadata Inference Engine Automation 100

Marktechpost

OCTOBER 22, 2024

In recent years, large language models (LLMs) have demonstrated significant progress in various applications, from text generation to question answering. However, one critical area of improvement is ensuring these models accurately follow specific instructions during tasks, such as adjusting format, tone, or content length.

Large Language Models 112

Large Language Models Neural Network Inference Engine AI 112

Marktechpost

OCTOBER 17, 2024

Large Language Models (LLMs) have demonstrated remarkable proficiency in In-Context Learning (ICL), which is a technique that teaches them to complete tasks using just a few examples included in the input prompt and no further training. If you like our work, you will love our newsletter.

Large Language Models 108

Large Language Models Inference Engine LLM ML 108

Marktechpost

OCTOBER 18, 2024

Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models (MLLMs). If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 111

Large Language Models Natural Language Processing Inference Engine LLM 111

Marktechpost

OCTOBER 20, 2024

Large language models (LLMs) have revolutionized various domains, including code completion, where artificial intelligence predicts and suggests code based on a developer’s previous inputs. Despite the promise of LLMs, many models struggle with balancing speed and accuracy. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 112

Large Language Models Inference Engine Python Artificial Intelligence 112

Marktechpost

OCTOBER 16, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post This AI Paper from Meta AI Highlights the Risks of Using Synthetic Data to Train Large Language Models appeared first on MarkTechPost.

Large Language Models 107

Large Language Models Neural Network Machine Learning Inference Engine 107

Marktechpost

OCTOBER 19, 2024

Large Language models (LLMs) have long been trained to process vast amounts of data to generate responses that align with patterns seen during training. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 103

Large Language Models Inference Engine AI AI 103

Marktechpost

OCTOBER 14, 2024

The problem with efficiently linearizing large language models (LLMs) is multifaceted. Existing methods that try to linearize these models by replacing quadratic attention with subquadratic analogs face significant challenges: they often lead to degraded performance, incur high computational costs, and lack scalability.

LLM 119

LLM Large Language Models Inference Engine AI 119

Marktechpost

OCTOBER 25, 2024

Accurate assessment of Large Language Models is best done with complex tasks involving long input sequences. This article explains the latest research that systematically investigates positional biases in large language models. Relative position introduces a bias in LLMs, thus affecting their performance.

Large Language Models 61

Large Language Models Inference Engine Explainability LLM 61

Marktechpost

OCTOBER 26, 2024

With large language models capable of handling complex game mechanics, character interactions, dynamic storytelling, and advanced visual models producing high-quality graphics based on prompts, we now have the tools to generate open-ended gameplay and evolving narratives. Don’t Forget to join our 55k+ ML SubReddit.

Generative AI 114

Generative AI AI Modeling Large Language Models Inference Engine 114

Marktechpost

OCTOBER 15, 2024

The challenge lies in generating effective agentic workflows for Large Language Models (LLMs). Despite their remarkable capabilities across diverse tasks, creating workflows that combine multiple LLMs into coherent sequences is labor-intensive, which limits scalability and adaptability to new tasks.

Artificial Intelligence 124

Artificial Intelligence Artificial Intelligence Automation Inference Engine 124

Marktechpost

OCTOBER 15, 2024

Large Language Models (LLMs) need to be evaluated within the framework of embodied decision-making, i.e., the capacity to carry out activities in either digital or physical environments. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 57

Large Language Models Inference Engine LLM AI 57

Marktechpost

OCTOBER 18, 2024

Large language models (LLMs) have demonstrated significant reasoning capabilities, yet they face issues like hallucinations and the inability to conduct faithful reasoning. These challenges stem from knowledge gaps, leading to factual errors during complex tasks. If you like our work, you will love our newsletter.

LLM 112

LLM Inference Engine Large Language Models AI 112

Marktechpost

OCTOBER 17, 2024

This requirement has prompted researchers to find effective ways to integrate real-time data and contextual understanding into Large Language Models (LLMs), which have difficulty interpreting real-world tasks. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

LLM 121

LLM Inference Engine Large Language Models Machine Learning 121

Marktechpost

OCTOBER 17, 2024

There is a need for flexible and efficient adaptation of large language models (LLMs) to various tasks. Existing approaches, such as mixture-of-experts (MoE) and model arithmetic, struggle with requiring substantial tuning data, inflexible model composition, or strong assumptions about how models should be used.

LLM 112

LLM Algorithm AI Research AI Researcher 112

Marktechpost

OCTOBER 24, 2024

In PROVE, researchers use a high-fidelity scene graph representation constructed from hyper-detailed image captions and employ a large language model (LLM) to generate diverse question-answer (QA) pairs along with executable programs to verify each QA pair. This approach allows the creation of a benchmark dataset of 10.5k

AI Researcher 118

AI Researcher AI Research Inference Engine Large Language Models 118

Marktechpost

OCTOBER 19, 2024

Large language models (LLMs) like GPT-4, Gemini, and Llama 3 have revolutionized natural language processing through extensive pre-training and supervised fine-tuning (SFT). However, these models come with high computational costs for training and inference. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 112

Large Language Models Natural Language Processing Inference Engine LLM 112

Marktechpost

OCTOBER 21, 2024

AI models are built upon large language models (LLMs), designed specifically for enterprise AI applications. These include 8B and 2B parameter-dense decoder-only models, which outperformed similarly sized Llama-3.1 2B and 8B AI Models for AI Enterprises appeared first on MarkTechPost.

AI Modeling 116

AI Modeling Large Language Models Natural Language Processing Inference Engine 116

Marktechpost

OCTOBER 16, 2024

Large language models (LLMs) have gained widespread adoption due to their advanced text understanding and generation capabilities. Third, the method operates in a black-box manner, requiring only access to the model’s textual output, making it practical for real-world applications.

Large Language Models 112

Large Language Models Inference Engine LLM Algorithm 112

Marktechpost

OCTOBER 17, 2024

In particular, the release targets bottlenecks experienced in transformer models and LLMs (Large Language Models), the ongoing need for GPU optimizations, and the efficiency of training and inference for both research and production settings. With the latest PyTorch 2.5 Don’t Forget to join our 50k+ ML SubReddit.

Machine Learning 121

Machine Learning Neural Network Data Scientist Inference Engine 121

Marktechpost

OCTOBER 22, 2024

Retrieval-Augmented Generation (RAG) is a growing area of research focused on improving the capabilities of large language models (LLMs) by incorporating external knowledge sources. Combined with its progressive approach, the coarse-to-fine granularity of FunnelRAG reduces time overhead while maintaining retrieval performance.

Large Language Models 112

Large Language Models Inference Engine AI AI 112

Marktechpost

OCTOBER 15, 2024

Large language models (LLMs) have become crucial in natural language processing, particularly for solving complex reasoning tasks. These models are designed to handle mathematical problem-solving, decision-making, and multi-step logical deductions. If you like our work, you will love our newsletter.

Machine Learning 116

Machine Learning LLM AI Research AI Researcher 116

Marktechpost

OCTOBER 23, 2024

This allows these models to create very realistic images. Considering the major influence of autoregressive ( AR ) generative models, such as Large Language Models in natural language processing ( NLP ), it’s interesting to explore whether similar approaches can work for images.

Natural Language Processing 110

Natural Language Processing Inference Engine NLP Large Language Models 110

Marktechpost

OCTOBER 21, 2024

Large language models (LLMs) can understand and generate human-like text across various applications. In conclusion, the research presented through MIND introduces a transformative approach to improving the mathematical reasoning capabilities of large language models.

Large Language Models 112

Large Language Models Inference Engine AI AI 112

Marktechpost

OCTOBER 18, 2024

Traditionally, large language models (LLMs) used for building TTS pipelines convert speech to text using automatic speech recognition (ASR), process it using an LLM, and then convert the output back to speech via TTS. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Inference Engine 119

Inference Engine Large Language Models AI AI 119

Marktechpost

OCTOBER 16, 2024

The need for efficient and trustworthy techniques to assess the performance of Large Language Models (LLMs) is increasing as these models are incorporated into more and more domains. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Inference Engine 101

Inference Engine Large Language Models OpenAI AI 101

Marktechpost

OCTOBER 18, 2024

Current evaluation frameworks, such as LLM-as-a-Judge, which uses large language models to judge outputs from other AI systems, must account for the entire task-solving process. These models often overlook intermediate stages, crucial for agentic systems because they mimic human-like problem-solving strategies.

Large Language Models 108

Large Language Models LLM AI Developer AI Development 108

Marktechpost

OCTOBER 25, 2024

Large Language Models (LLMs) have potential applications in education, healthcare, mental health support, and other domains. Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Can LLMs Follow Instructions Reliably?

LLM 101

LLM Inference Engine Large Language Models ML 101

Marktechpost

OCTOBER 20, 2024

Large language models (LLMs) have revolutionized the field of artificial intelligence by performing a wide range of tasks across different domains. These models are expected to work seamlessly in multiple languages, solving complex problems while ensuring safety. If you like our work, you will love our newsletter.

AI Research 115

AI Research AI Researcher Inference Engine AI 115

Marktechpost

OCTOBER 26, 2024

Large language models (LLMs) sometimes learn the things that we don’t want them to learn and understand knowledge. However, editing or “unlearning” specific knowledge in these models is very tough. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Inference Engine 98

Inference Engine Large Language Models AI AI 98

Marktechpost

OCTOBER 15, 2024

The ever-increasing size of Large Language Models (LLMs) presents a significant challenge for practical deployment. Despite their transformative impact on natural language processing, these models are often hindered by high memory transfer requirements, which pose a bottleneck during autoregressive generation.

LLM 108

LLM Natural Language Processing Inference Engine Large Language Models 108

Marktechpost

OCTOBER 21, 2024

Large Language Models (LLMs) have gained significant attention in AI research due to their impressive capabilities. However, their limitation lies with long-term planning and complex problem-solving. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Neural Network 103

Neural Network Inference Engine Large Language Models AI 103

Marktechpost

OCTOBER 21, 2024

While alternative methods like large language model (LLM)-based encoders can handle longer sequences, they fail to provide the same level of alignment as contrastive pre-training encoders do. The growing popularity of diffusion models has been driven by advancements in fast sampling techniques and text-conditioned generation.

Inference Engine 112

Inference Engine Large Language Models LLM ML 112

Marktechpost

OCTOBER 19, 2024

Long-context Large language models (LLMs) are designed to handle long input sequences, enabling them to process and understand large amounts of information. As the interference computation power is increased the large language models (LLMs) can perform diverse tasks.

Large Language Models 103

Large Language Models Inference Engine AI AI 103