Dataconomy

MAY 6, 2024

AI has made tremendous progress; still, there are some areas where AI’s ability is insufficient. Insight into these limitations is crucial for understanding the current state of this technology and its effective implementation in different areas.

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Data Science Dojo

NOVEMBER 3, 2023

This blog lists several YouTube channels that can help you get started with llms, generative AI, prompt engineering, and more. Large language models, like GPT-3.5, have revolutionized the field of natural language processing. Subscribe now and start learning.

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Data Science Dojo

NOVEMBER 3, 2023

Large language models, like GPT-3.5, have revolutionized the field of natural language processing. These models are at the forefront of advancements in artificial intelligence and natural language processing. Subscribe now and start learning.

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Data Science Dojo

NOVEMBER 3, 2023

This blog lists several YouTube channels that can help you get started with llms, generative AI, prompt engineering, and more. Large language models, like GPT-3.5, have revolutionized the field of natural language processing. Subscribe now and start learning.

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Flipboard

NOVEMBER 7, 2023

Recent advances in computer vision (CV) and natural language processing have been driven by exploiting big data on practical applications. However, these research fields are still limited by the sheer volume, versatility, and diversity of the available datasets.

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DrivenData Labs

MAY 18, 2023

In this post we sit down with Dr. Helen Yannakoudakis, a winner of the Hateful Memes competition and an Assistant Professor at King’s College London, Visiting Researcher at the University of Cambridge, and co-founder and Chief Scientific Officer at Kinhub. What areas are you particularly interested in? Data science is a broad field.

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Data Science Dojo

AUGUST 8, 2023

Prompt engineering as a career As a career path, prompt engineering offers exciting opportunities for individuals with a deep understanding of natural language processing and a creative mindset. Stay current with latest research NLP and AI are evolving rapidly, with new research and advancements occurring frequently.

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NYU Center for Data Science

JUNE 8, 2023

It includes hands-on labs and lectures taught by renowned researchers in the fields of artificial intelligence and machine learning. ML² group , affiliated with the larger CILVR lab , is a team of NYU researchers focused on developing innovative machine learning methods for natural language processing (NLP).

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Dataconomy

FEBRUARY 21, 2024

Google Gemma AI has arrived, offering developers powerful yet compact language models accessible for innovation and customization. Built upon the foundational research powering Google’s impressive Gemini models , Google Gemma AI is part of the company’s ongoing commitment to open-source AI development.

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Data Science Dojo

NOVEMBER 10, 2023

Transformers are a type of neural network architecture that is particularly well-suited for natural language processing tasks, such as text generation and translation. Jax: Jax is a high-performance numerical computation library for Python with a focus on machine learning and deep learning research.

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Data Science Connect

JULY 22, 2023

This cutting-edge collaboration brings geospatial analysis to a broader audience, empowering data scientists to harness AI-powered natural language processing (NLP) to interact with and analyze geographic data more efficiently. ” or “Which regions need immediate relief supplies due to the ongoing flood?”

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NYU Center for Data Science

MARCH 15, 2023

The program gives participants a comprehensive understanding of the current AI research landscape in just five days. It is supported by the NYU ML² Machine Learning for Language Lab , a team of researchers developing machine-learning methods for natural language processing (NLP) affiliated with the CILVR Lab , and the Center for Data Science.

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Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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Women in Big Data

DECEMBER 13, 2023

The Bay Area Chapter of Women in Big Data (WiBD) hosted its second successful episode on the NLP (Natural Language Processing), Tools, Technologies and Career opportunities. Computational Linguistics is rule based modeling of natural languages. The event was part of the chapter’s technical talk series 2023.

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NYU Center for Data Science

JULY 18, 2023

Read about the research groups at CDS working to advance data science and machine learning! CDS includes a range of research groups that bring together NYU professors, faculty fellows, and PhD students working at various intersections of data science, machine learning, and artificial intelligence. By Meryl Phair

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Chatbots Life

APRIL 16, 2024

Some areas where generative models excel include: Image Generation Generative models can generate realistic images, such as creating new faces or producing artwork. This is useful in natural language processing tasks. Text Generation Generative models can generate new text that resembles human-written content.

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Data Science Dojo

APRIL 26, 2024

This latest large language model (LLM) is a powerful tool for natural language processing (NLP). Hence, the enhanced understanding of language ensures the model’s ability to generate innovative and creative content. Each one is focused on assessing the capabilities of the LLM in different areas.

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Data Science Dojo

APRIL 16, 2024

Natural language processing (NLP) engineer Potential pay range – US$164,000 to 267,000/yr As the name suggests, these professionals specialize in building systems for processing human language, like large language models (LLMs).

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Dataconomy

FEBRUARY 28, 2024

These findings are consistent with broader research. Dialogflow gives you the tools for granular control, thanks to its powerful natural language processing capabilities Sales and marketing Another area where you can integrate AI at work is sales and marketing.

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ODSC - Open Data Science

MAY 3, 2024

This allows researchers to create even more powerful LLMs without breaking the bank. Improved Efficiency: MoE focuses the LLM’s resources on the most relevant parts of the input, making the learning process more efficient. in some areas. MoE offers a way to scale these models up without blowing the training budget.

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Data Science Dojo

APRIL 18, 2024

Speak many languages Since language is the area of expertise for LLMs, the models are trained to work with multiple languages. It enables them to understand and translate languages with impressive accuracy. LLMs are constantly evolving, with researchers developing new techniques to unlock their full potential.

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Mlearning.ai

MAY 5, 2023

History of Large Language Models The development of LLMs can be traced back to the early days of artificial intelligence research in the 1950s and 1960s. At that time, researchers were primarily focused on developing rule-based systems that could process and generate text based on strict sets of instructions.

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Dataconomy

JULY 4, 2023

The ultimate goal of hyper automation is to create a streamlined process for automating various tasks within an organization. Tools for process mining and task mining, which help identify and prioritize areas where automation can be applied Automation development tools that make it easier and more cost-effective to build automation.

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Data Science Dojo

JANUARY 13, 2023

AAAI Conference on Artificial Intelligence – Washington DC, United States The AAAI Conference on Artificial Intelligence (AAAI) is a leading conference in the field of artificial intelligence research. The conference is not limited to these specific topics and welcomes research from other related fields as well.

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Data Science Dojo

NOVEMBER 10, 2023

ChatGPT is a large language model that has been trained on a massive amount of text data, making it an incredibly powerful tool for natural language processing (NLP). If you’re more advanced, ChatGPT can recommend more specialized resources or research papers to help you deepen your knowledge in a particular area.

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Dataconomy

MARCH 14, 2023

In recent years, natural language processing and conversational AI have gained significant attention as technologies that are transforming the way we interact with machines and each other. Natural language processing involves the application of artificial intelligence to comprehend and respond to human language.

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Google Research AI blog

APRIL 19, 2023

This endeavor necessitates fundamental and applied research with an interdisciplinary lens that engages with — and accounts for — the social, cultural, economic, and other contextual dimensions that shape the development and deployment of AI systems. Our team, Technology, AI, Society, and Culture (TASC), is addressing this critical need.

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NYU Center for Data Science

DECEMBER 1, 2023

Phang’s first paper, “ HyperTuning: Toward Adapting Large Language Models without Back-propagation ,” presented at ICML 2023, is a kind of proof of concept of hypernetworks, a way to fine-tune large language models. Phang’s team focused on six key areas, including efficient attention mechanisms and the optimal training preregime.

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ODSC - Open Data Science

APRIL 3, 2023

We’ve been in your shoes too, and that’s why we created SQuARE: Software for Question Answering Research ! Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language. SQuARE is a research project that aims to make QA research more accessible.

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Towards AI

APRIL 8, 2024

While numerous techniques have been explored, methods harnessing natural language processing (NLP) have demonstrated strong performance. Understanding Word2Vec Word2Vec is a pioneering natural language processing (NLP) technique that revolutionized the way we represent words in vector space.

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Dataconomy

JUNE 21, 2023

However, they also pose a significant threat to various areas, including security, privacy, ethics, and society at large. Hinton’s research paved the way for contemporary systems like ChatGPT, but in a BBC interview, he cautioned against some “quite scary” dangers related to AI chatbots.

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Dataconomy

JULY 26, 2023

Natural Language Processing (NLP) is an exciting technology that enables computers to understand and analyze human language. By using NLP tools, businesses can save time and effort in drafting and reviewing contracts, leading to more efficient processes. But how about NLP for contracts?

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ODSC - Open Data Science

FEBRUARY 27, 2023

Improved natural language processing : Natural language processing (NLP) is the ability of a computer to understand, interpret, and generate human language. This is a key area of AI research, and it has come a long way in recent years.

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Data Science Dojo

JANUARY 31, 2024

It is an AI framework and a type of natural language processing (NLP) model that enables the retrieval of information from an external knowledge base. It enables the generative models to access the latest statistics and research. It empowers generative AI to create more coherent and contextually relevant content.

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Dataconomy

DECEMBER 4, 2023

OpenAI, the leading non-profit AI research company, has signed a letter of intent with Rain AI , a startup developing neuromorphic processors (NPUs) specifically tailored for AI applications. Reduced latency NPUs offer lower latency compared to CPUs and GPUs, meaning they can process data and produce results more quickly.

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How to Learn Machine Learning

MAY 14, 2023

When selecting projects, consider tackling problems in different domains, such as natural language processing, computer vision, or recommendation systems. In addition to deep learning, it’s beneficial to specialize in a specific area or technique within machine learning. Publisher) Buy on Amazon 5.

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Flipboard

MAY 10, 2023

Launched nearly a decade ago by late Microsoft co-founder Paul Allen, the Seattle-based institute is backed by $100 million in annual funding and employs more than 200 AI researchers, engineers, professors, and staff. Researchers help startup founders at the incubator test ideas and develop and train AI models.

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