Marktechpost

FEBRUARY 13, 2024

A groundbreaking study unveils an approach to peering into the minds of Large Language Models (LLMs), particularly focusing on GPT-4’s understanding of color. The challenge of interpreting AI models lies in their complexity and the opaque nature of their internal workings. Check out the Paper.

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Marktechpost

SEPTEMBER 9, 2023

As a powerful intermediary, natural language holds promise in enhancing comprehension and communication across diverse sensory domains. Large Language Models (LLMs) have exhibited impressive capabilities as agents, collaborating with various AI models to tackle multi-modal challenges.

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Marktechpost

SEPTEMBER 1, 2023

The paper explains why any technique for addressing undesirable LLM behaviors that do not completely eradicate them renders the model vulnerable to adversarial quick attacks. They also note that there will be a significant drop in accuracy from the baseline model if we want to increase model security.

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Marktechpost

JANUARY 3, 2024

A team of researchers from the University of Georgia and Mayo Clinic explored how well powerful computer algorithms, known as Large Language Models (LLMs), understand and solve biology-related questions. The team explained that their study aimed to gauge how good these AI models were at understanding biology topics.

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AssemblyAI

MAY 4, 2023

Companies need trained researchers to dig deep and understand customers’ biggest pain points in order to compete in today’s hypercompetitive markets. To accomplish this, Marvin’s product team relies on a variety of technological tools, including AI. Want to learn more about building AI-powered tools?

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Marktechpost

MAY 14, 2024

In the quickly developing fields of Artificial Intelligence and Data Science, the volume and accessibility of training data are critical factors in determining the capabilities and potential of Large Language Models (LLMs). The post Large Language Model (LLM) Training Data Is Running Out.

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Marktechpost

MARCH 5, 2024

In an intriguing exploration spearheaded by researchers at Google DeepMind and University College London, the capabilities of Large Language Models (LLMs) to engage in latent multi-hop reasoning have been put under the microscope. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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AI News

NOVEMBER 8, 2023

Amazon is reportedly making substantial investments in the development of a large language model (LLM) named Olympus. According to Reuters , the tech giant is pouring millions into this project to create a model with a staggering two trillion parameters.

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Marktechpost

AUGUST 12, 2023

The ability of large language models (LLMs) to generate coherent, contextually relevant, and semantically meaningful text has become increasingly complex. Thus, techniques that continually assess and improve generations would be helpful toward more trustworthy language models.

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Marktechpost

SEPTEMBER 14, 2023

They are built upon the foundations of traditional unimodal language models, like GPT-3, while incorporating additional capabilities to handle different data types. However, multimodal LLMs may require a large amount of data to perform well, making them less sample-efficient than other AI models.

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Unite.AI

JANUARY 15, 2024

Generative AI , such as large language models (LLMs) like ChatGPT, is experiencing unprecedented growth, as showcased in a recent survey by McKinsey Global. These models, designed to generate diverse content ranging from text and visuals to audio, find applications in healthcare, education, entertainment, and businesses.

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AI Weekly

NOVEMBER 16, 2023

Powered by superai.com In the News 10 Breakthrough AI Research Papers to Read in 2024 These papers encompass a diverse array of advancements, ranging from ethical considerations to quantum computing applications, healthcare innovations to climate analysis.

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Marktechpost

DECEMBER 15, 2023

Researchers at Apollo Research, an organization dedicated to assessing the safety of AI systems, recently delved into this issue. Their study focused on large language models (LLMs), with OpenAI’s ChatGPT being one of the prominent examples. If you like our work, you will love our newsletter.

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Unite.AI

OCTOBER 18, 2023

Its comprehensive analyses have consistently offered valuable insights to researchers, industry professionals, and policymakers. This year, the report underscores some particularly significant advancements in the field of Large Language Models (LLMs), emphasizing their growing influence and the broader implications for the AI community.

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Marktechpost

FEBRUARY 23, 2024

Developing large language models (LLMs) represents a cutting-edge frontier. These models, trained to parse, generate, and interpret human language, are increasingly becoming the backbone of various digital tools and platforms, enhancing everything from simple automated writing assistants to complex conversational agents.

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Unite.AI

FEBRUARY 15, 2024

Ramprakash Ramamoorthy, is the Head of AI Research at ManageEngine , the enterprise IT management division of Zoho Corp. As the director of AI Research at Zoho & ManageEngine, what does your average workday look like? Our initial focus was on supplanting traditional statistical techniques with AI models.

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Marktechpost

MAY 16, 2024

The evaluation of artificial intelligence models, particularly large language models (LLMs), is a rapidly evolving research field. Researchers are focused on developing more rigorous benchmarks to assess the capabilities of these models across a wide range of complex tasks.

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Marktechpost

AUGUST 17, 2023

It has been demonstrated that the usability and overall performance of large language models (LLMs) can be enhanced by fine-tuning various language tasks provided via instructions (instruction tuning). Models trained with visual, auditory, and multilingual data have all fared well with the instruction tuning paradigm.

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Unite.AI

JUNE 4, 2024

In a world where AI seems to work like magic, Anthropic has made significant strides in deciphering the inner workings of Large Language Models (LLMs). By examining the ‘brain' of their LLM, Claude Sonnet, they are uncovering how these models think. Researchers applied this innovative method to Claude 3.0

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AI News

JUNE 28, 2023

Databricks has announced its definitive agreement to acquire MosaicML , a pioneer in large language models (LLMs). This strategic move aims to make generative AI accessible to organisations of all sizes, allowing them to develop, possess, and safeguard their own generative AI models using their own data.

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Marktechpost

NOVEMBER 15, 2024

Large language models (LLMs), useful for answering questions and generating content, are now being trained to handle tasks requiring advanced reasoning, such as complex problem-solving in mathematics, science, and logical deduction. Don’t Forget to join our 55k+ ML SubReddit.

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Marktechpost

JUNE 10, 2023

Moreover, ChatGPT offered helpful suggestions during the implementation phase, guiding the researchers to use silicone or rubber for the gripper to prevent tomato crushing. The AI model also recommended employing a Dynamixel motor, the optimal solution for driving the robot.

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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

AUGUST 27, 2023

These scores outperformed existing solutions and demonstrated its competitive edge against widely recognized AI models. By offering an open and community-driven approach, Code Llama invites innovation and encourages responsible and safe AI development practices.

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Marktechpost

MARCH 4, 2024

Efficiency of Large Language Models (LLMs) is a focal point for researchers in AI. A groundbreaking study by Qualcomm AI Research introduces a method known as GPTVQ, which leverages vector quantization (VQ) to enhance the size-accuracy trade-off in neural network quantization significantly.

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Unite.AI

OCTOBER 23, 2023

In a world where technology is ever-evolving, NVIDIA once again demonstrates its prowess with a groundbreaking advancement: the Eureka AI agent. This cutting-edge tool isn't just any AI model – it’s transforming the realm of robotics, equipping them with the capacity to master intricate tasks that were once deemed too complex.

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AI Weekly

MARCH 28, 2024

Powered by global.ntt In the News Top Artificial Intelligence Books to Read in 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. The technology is as sophisticated as it is essential.

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Marktechpost

JULY 29, 2023

With exceptional efficiency and interactivity, this unified architecture enables users to execute various activities (including code generation, math problem solving, and the creation of scientific publications) using a natural language interface. However, such a generative paradigm also brings with it certain particular difficulties.

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IBM Journey to AI blog

JANUARY 11, 2024

Overcoming the limitations of generative AI We’ve seen numerous hypes around generative AI (or GenAI) lately due to the widespread availability of large language models (LLMs) like ChatGPT and consumer-grade visual AI image generators.

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Marktechpost

MARCH 21, 2024

A research team from Google Research has introduced an innovative method to bridge this gap by leveraging large language models (LLMs). This gap significantly limits the potential applications of VLMs, especially in fields requiring nuanced interpretation of complex multimodal data.

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AssemblyAI

MARCH 7, 2024

Do I want to manage the AI model internally or have it managed for me? Will the AI model or LLM and/or partner be able to grow with us? In addition, orchestrating the AI integration internally can be a large barrier to entry. Do I want to manage the AI model internally or have it managed for me?

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Marktechpost

DECEMBER 16, 2023

Large language models such as GPT-3 require substantial energy due to their computational needs during training and inference. The energy usage varies significantly based on factors like the model’s size, task complexity, hardware specifications, and operational duration.

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AssemblyAI

SEPTEMBER 11, 2024

More companies are building with Speech AI than ever before, thanks to the increased accuracy, speed, and availability of Speech AI models.    Companies across industries are integrating Speech AI to build next-generation meeting note-takers, digital advertising tools, conversation intelligence tools, and more. 

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AI Weekly

APRIL 11, 2024

The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. techcrunch.com Applied use cases Can AI Find Its Way Into Accounts Payable? Generative AI is igniting a new era of innovation within the back office.

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Flipboard

MARCH 13, 2023

Yes, large language models (LLMs) hallucinate , a concept popularized by Google AI researchers in 2018. Bill Gates has mused that ChatGPT or similar large language models could some day provide medical advice to people without access to doctors. Hallucinations are a serious problem.

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AI Weekly

OCTOBER 12, 2023

coindesk.com Chorus of creative workers demands AI regulation at FTC roundtable At a virtual Federal Trade Commission (FTC) roundtable yesterday, a deep lineup of creative workers and labor leaders representing artists demanded AI regulation of generative AI models and tools.

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AI News

AUGUST 2, 2024

The root of the problem lies in AI’s immense appetite for computing power and electricity. Training large language models like GPT-3 requires vast amounts of data to be processed by thousands of specialized chips running around the clock in sprawling data centres. “We have an existential crisis right now.

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