Marktechpost

JUNE 8, 2024

They emphasize practical applications, advanced techniques, and responsible AI practices, equipping learners to develop and deploy AI solutions ethically and effectively. This article lists the top Microsoft AI courses that provide essential skills for excelling in the field of artificial intelligence.

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Marktechpost

JUNE 28, 2024

Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. One way an individual can stay updated with the latest trends is by reading books on various facets of AI.

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Marktechpost

JUNE 9, 2024

Salesforce offers short courses on Trailhead, covering essential AI skills to help you become the AI hero your company needs, positioning you for new opportunities and career advancement. This article lists the top courses by Salesforce to help you gain expertise in AI and excel in your career.

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Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. The post Top Artificial Intelligence AI Courses from Google appeared first on MarkTechPost.

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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).

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AI News

JULY 29, 2024

This dichotomy has led Bloomberg to aptly dub AI development a “huge money pit,” highlighting the complex economic reality behind today’s AI revolution. At the heart of this financial problem lies a relentless push for bigger, more sophisticated AI models.

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Marktechpost

MARCH 5, 2024

The surge in the development of Large Language Models (LLMs) has been revolutionary. These sophisticated models have dramatically enhanced our ability to process, understand, and generate human-like text. drastically reduces the resource requirements of LLMs, marking a leap forward in sustainable AI development.

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Marktechpost

NOVEMBER 16, 2024

Large Language Models (LLMs) have gained significant attention in recent times, but with them comes the problem of hallucinations, in which the models generate information that is fictitious, deceptive, or plain wrong. Intelligent systems use AI hallucination detection techniques as fact-checkers.

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Marktechpost

AUGUST 10, 2024

Small and large language models represent two approaches to natural language processing (NLP) and have distinct advantages and challenges. Understanding and analyzing the differences between these models is essential for anyone working in AI and machine learning.

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Marktechpost

APRIL 28, 2024

The popularity of AI has skyrocketed in the past few years, with new avenues being opened up with the rise in the use of large language models (LLMs). Having knowledge of AI has now become quite essential as recruiters are actively looking for candidates with a strong foundation in the same.

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Marktechpost

OCTOBER 4, 2024

Multimodal large language models (MLLMs) represent a cutting-edge area in artificial intelligence, combining diverse data modalities like text, images, and even video to build a unified understanding across domains. is poised to address key challenges in multimodal AI. In conclusion, the MM1.5

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Analytics Vidhya

OCTOBER 4, 2024

Introduction In the evolving landscape of artificial intelligence, Retrieval-Augmented Generation (RAG) has become a powerful tool. It enhances model responses by combining retrieval and generation capabilities. This innovative approach enables AI to pull in relevant external information.

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Unite.AI

MAY 21, 2024

Amidst Artificial Intelligence (AI) developments, the domain of software development is undergoing a significant transformation. Traditionally, developers have relied on platforms like Stack Overflow to find solutions to coding challenges.

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Marktechpost

JANUARY 12, 2024

In artificial intelligence (AI), developers often face the challenge of efficiently working with many models. This complexity hinders the development of large-scale AI applications, making the process more convenient and efficient.

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Marktechpost

OCTOBER 6, 2024

A popular method when employing Large Language Models (LLMs) for complicated analytical tasks, such as code generation, is to attempt to solve the full problem within the model’s context window. The amount of data the model can process at once has a significant impact on its capacity to produce a solution.

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Marktechpost

AUGUST 26, 2024

Large Language Models (LLMs) have gained significant attention in recent times, but with them comes the problem of hallucinations, in which the models generate information that is fictitious, deceptive, or plain wrong. Intelligent systems use AI hallucination detection techniques as fact-checkers.

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Marktechpost

NOVEMBER 23, 2023

REAL AI’s unique opportunity- “We aim to provide Europe’s answer to responsible AI development. Together with UNINA and AI supercomputer cluster ‘Leonardo’, we can make this possible”. – Tarry Singh , CEO of Real AI B.V. For more information on Real AI B.V.,

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Marktechpost

OCTOBER 6, 2024

The rise of powerful image editing models has further blurred the line between real and fake content, posing risks such as misinformation and legal issues. Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers?

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Marktechpost

AUGUST 3, 2024

Meet RedCache-AI , a Python package that addresses this problem by providing an open-source, dynamic memory framework specifically designed for Large Language Models (LLMs). This framework allows developers to store and retrieve text memories efficiently, facilitating the development of various applications.

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Analytics Vidhya

MAY 3, 2023

Artificial intelligence (AI) has been a hot topic for quite some time now. The hype around AI has hit a fever pitch over the past few months due to excitement about ChatGPT, the popular AI chatbot, and the role of AI in the digital economy.

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Marktechpost

OCTOBER 6, 2024

Training Large Language Models (LLMs) that can handle long-context processing is still a difficult task because of data sparsity constraints, implementation complexity, and training efficiency. Let’s collaborate!

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Marktechpost

MAY 27, 2024

Symflower has recently introduced DevQualityEval , an innovative evaluation benchmark and framework designed to elevate the code quality generated by large language models (LLMs). This release will allow developers to assess and improve LLMs’ capabilities in real-world software development scenarios.

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Marktechpost

APRIL 1, 2024

With the incorporation of large language models (LLMs) in almost all fields of technology, processing large datasets for language models poses challenges in terms of scalability and efficiency. If you like our work, you will love our newsletter.

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Marktechpost

FEBRUARY 21, 2024

In the vast world of artificial intelligence, developers face a common challenge – ensuring the reliability and quality of outputs generated by large language models (LLMs). With Guardrails, developers can navigate the challenges of ensuring reliable AI outputs with greater confidence and efficiency.

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Marktechpost

NOVEMBER 16, 2024

This article explores the insights from Kili Technology’s new multilingual study and its associated findings, emphasizing how leading models like CommandR+, Llama 3.2, This technique involves providing the model with carefully selected examples, thereby conditioning it to replicate and extend that pattern in harmful or misleading ways.

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Analytics Vidhya

MARCH 26, 2024

Introduction China’s biggest generative artificial intelligence (AI) developers, including Baidu and Alibaba Group Holding, have rushed to upgrade their chatbots to handle super-long texts of up to 10 million Chinese characters.

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Marktechpost

DECEMBER 25, 2023

Amidst the dynamic evolution of advanced large language models (LLMs), developers seek streamlined methods to string prompts together effectively, giving rise to sophisticated AI assistants, search engines, and more. If you like our work, you will love our newsletter.

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Marktechpost

OCTOBER 6, 2024

Natural language processing (NLP) has experienced rapid advancements, with large language models (LLMs) being used to tackle various challenging problems. These models have demonstrated remarkable performance on math-specific benchmarks such as GSM8K, which measures their capabilities to solve grade-school math problems.

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Marktechpost

MAY 18, 2024

Researchers aim to enhance the accuracy of these models while minimizing the computational resources needed. This research provides essential insights into balancing performance and computational efficiency in finetuning LLMs, offering a pathway for more sustainable and versatile AI development. Check out the Paper.

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Marktechpost

SEPTEMBER 18, 2024

Artificial intelligence (AI) and natural language processing (NLP) have seen significant advancements in recent years, particularly in the development and deployment of large language models (LLMs). This strategy aligns with the growing trend of making AI tools more transparent and explainable.

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Unite.AI

AUGUST 7, 2024

This financial barrier creates an uneven playing field, limiting access to cutting-edge AI technology and hindering innovation. Moreover, the energy demands associated with training large AI models are staggering. The reliance on large AI restricts small AI development in the hands of a few resource-rich companies.

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Robot Writers AI

SEPTEMBER 8, 2024

Offering unlimited image generation, the AI is designed to work with more than 20 of the world’s most popular AI engines. One of those AI engines — also known as Large Language Models — is its own Ninja-LLM 3.0, which is built on AI developed by Facebook parent Meta.

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Marktechpost

OCTOBER 8, 2024

Large Language Models (LLMs) have made considerable advancements in natural language understanding and generation through scalable pretraining and fine-tuning techniques. This innovative method addresses the challenge of limited reasoning-specific data and significantly enhances reward model fine-tuning.

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NVIDIA

MARCH 13, 2024

Editor’s note: This post is part of our AI Decoded series , which aims to demystify AI by making the technology more accessible, while showcasing new hardware, software, tools and accelerations for RTX PC and workstation users. If AI is having its iPhone moment, then chatbots are one of its first popular apps. and online.

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Marktechpost

SEPTEMBER 3, 2024

Artificial intelligence, particularly the development of large language models (LLMs), has been rapidly advancing, focusing on improving these models’ reasoning capabilities. Check out the Paper. All credit for this research goes to the researchers of this project. Join our Telegram Channel.

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Marktechpost

OCTOBER 5, 2024

Google Researchers combined AR developments in spatial understanding via SLAM with object detection and segmentation integrated with Multimodal Large Language Model (MLLM) XR Object offers an object-centric interaction in contradistinction to the application-centric approach of Google Lens. Let’s collaborate!

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Marktechpost

SEPTEMBER 8, 2024

The competition to develop the most advanced Large Language Models (LLMs) has seen major advancements, with the four AI giants, OpenAI, Meta, Anthropic, and Google DeepMind, at the forefront. The models below offer some of the most competitive pricing in the market.

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