Marktechpost

FEBRUARY 26, 2025

It outperforms traditional OCR tools in structured data recognition and large-scale processing and has the highest ELO score in human evaluations. Improves language model training by increasing accuracy by 1.3 percentage points on AI benchmark datasets like ARC Challenge and DROP.

Metadata 80

Metadata Inference Engine Deep Learning Machine Learning 80

Marktechpost

OCTOBER 26, 2024

The training data is enhanced through a systematic perturbation process using large language models, specifically targeting eight key taxonomies: spatial relationships, visual attributes, attribute binding, object identification, counting, small object detection, text OCR, and counterfactual scenarios.

AI Researcher 105

AI Researcher AI Research Data Scarcity Inference Engine 105

Marktechpost

OCTOBER 16, 2024

Large language models (LLMs) have revolutionized various fields by enabling more effective data processing, complex problem-solving, and natural language understanding. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

LLM 107

LLM AI Researcher AI Research Inference Engine 107

Marktechpost

JUNE 8, 2023

There are rising worries about the potential negative impacts of large language models (LLMs), such as data memorization, bias, and unsuitable language, despite LLMs’ widespread praise for their capacity to generate natural-sounding text. Check Out The Paper , Github , and CMU Article.

Large Language Models 107

Large Language Models LLM Inference Engine AI 107

Marktechpost

OCTOBER 21, 2024

Large language models (LLMs) can understand and generate human-like text across various applications. This research field is evolving rapidly as AI researchers explore new methods to enhance LLMs’ capabilities in handling advanced reasoning tasks, particularly in mathematics.

Large Language Models 110

Large Language Models Inference Engine AI AI 110

Marktechpost

OCTOBER 18, 2024

The lack of effective evaluation methods poses a serious problem for AI research and development. 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.

Large Language Models 107

Large Language Models LLM AI Development AI Developer 107

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. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Neural Network 102

Neural Network Inference Engine Large Language Models Algorithm 102

Marktechpost

OCTOBER 21, 2024

As large language models (LLMs) become increasingly capable and better day by day, their safety has become a critical topic for research. To create a safe model, model providers usually pre-define a policy or a set of rules. The adapted strategy first produces an LLM that is easily controllable for safety.

Large Language Models 103

Large Language Models Inference Engine LLM AI 103

Unite.AI

JUNE 21, 2024

According to NVIDIA's benchmarks , TensorRT can provide up to 8x faster inference performance and 5x lower total cost of ownership compared to CPU-based inference for large language models like GPT-3. Accelerating LLM Training with GPUs and CUDA.

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

NVIDIA

JUNE 12, 2024

This is the kind of horsepower needed to handle AI-assisted digital content creation, AI super resolution in PC gaming, generating images from text or video, querying local large language models (LLMs) and more. LLM performance is measured in the number of tokens generated by the model. Source: Jan.ai

LLM 116

LLM Generative AI AI AI 116

Marktechpost

SEPTEMBER 1, 2023

With the advent of increasingly complex models, the demand for accurate code generation has surged, but so have concerns about energy consumption and operational costs. Existing code generation models have grappled with the delicate balance between accuracy and efficiency. The implications of this development are profound.

Large Language Models 114

Large Language Models Inference Engine LLM Automation 114

Marktechpost

AUGUST 25, 2023

With the advent of increasingly complex models, the demand for accurate code generation has surged, but so have concerns about energy consumption and operational costs. Existing code generation models have grappled with the delicate balance between accuracy and efficiency. The implications of this development are profound.

Large Language Models 98

Large Language Models Inference Engine LLM Automation 98

Marktechpost

OCTOBER 24, 2024

The rapid growth of large language models (LLMs) has brought significant advancements across various sectors, but it has also presented considerable challenges. High energy costs, lengthy training times, and the need for expensive hardware are barriers to accessibility for many organizations and researchers.

Large Language Models 117

Large Language Models NLP Natural Language Processing Inference Engine 117

Unite.AI

APRIL 24, 2024

Lin Qiao, was formerly head of Meta's PyTorch and is the Co-Founder and CEO of Fireworks AI. Fireworks AI is a production AI platform that is built for developers, Fireworks partners with the world's leading generative AI researchers to serve the best models, at the fastest speeds.

AI 130

AI AI OpenAI Inference Engine 130

Marktechpost

OCTOBER 18, 2024

Meta Lingua’s importance lies in its ability to simplify the experimentation process for NLP researchers. In an era where large language models are at the forefront of AI research, having access to a robust yet simple-to-use tool can make all the difference. Don’t Forget to join our 50k+ ML SubReddit.

LLM 111

LLM NLP Inference Engine Large Language Models 111

AI Impacts

OCTOBER 28, 2024

The result of using these methods and technologies would be an AI-powered inference engine we can query to see the rational support, empirical or otherwise, of key premises to arguments that bear on important practical decisions.

Automation 162

Automation Explainability AI AI 162