Hacker News

JULY 28, 2023

Part two of a six-part series on the history of natural language processing and artificial intelligence

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Dataconomy

DECEMBER 8, 2023

Double check your order history and make sure there aren’t any orders you don’t recognize. The warning also advised users to double-check their order history for any unrecognized purchases and monitor their bank accounts for unauthorized credit card charges. Did Amazon hack for real? states appearing in their accounts.

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AUGUST 4, 2023

The formation history of giant planets inside and outside the solar system remains unknown. The transition mass to a gas giant planets strongly depends on the exact formation history and birth environment of the planets, which are still not well constrained for our Solar System.

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Dataconomy

SEPTEMBER 19, 2023

The concept encapsulates a broad range of AI-enabled abilities, from Natural Language Processing (NLP) to machine learning (ML), aimed at empowering computers to engage in meaningful, human-like dialogue. But what exactly is conversational intelligence, and why is it so crucial in today’s tech-driven world? But how does it work?

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Data Science Dojo

AUGUST 22, 2023

Furthermore, apart from enhancing natural language processing applications such as translation, chatbots, and AI-powered assistants, large language models are also being employed in healthcare, software development, and numerous other fields for various practical purposes. In the vicinity of computers, code becomes the language.

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Towards AI

MARCH 15, 2024

An LLM-powered application can process inputs in natural language, including text and voice, allowing for more intuitive user interactions. It can understand inputs with a broader context, adapt to user preferences, and handle ambiguities in natural language.

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Data Science Dojo

NOVEMBER 21, 2023

GenAI takes this a step further by enabling more natural and context-aware conversations. By analyzing vast amounts of data, including transaction history, spending patterns, and preferences, generative models can recommend customized investment strategies, insurance plans, and other financial products.

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Towards AI

FEBRUARY 28, 2024

Let’s continue our exploration by delving into the exciting realm of querying this vector store using the natural language questions that drive the heart of our document processing pipeline. Now, we’ll explore how to query this vector store using natural language questions. Architecture1.2 Chat Pipeline Chat Implementation2.1

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NYU Center for Data Science

MARCH 27, 2024

Savin herself presented a poster from her lab on “ Learning robust neural representations by straightening natural videos.” The buzz at this year’s Cosyne conference? Compositionality. She also highlighted the work by Laura Driscoll discussed in David Susillo’s invited talk on building compositionality into models of neural circuits.

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Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. History The history of transformers in neural networks can be traced back to the early 1990s, when Jürgen Schmidhuber proposed the first transformer model. This decoding is also done using a self-attention mechanism.

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Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. History The history of transformers in neural networks can be traced back to the early 1990s, when Jürgen Schmidhuber proposed the first transformer model. This decoding is also done using a self-attention mechanism.

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Data Science Dojo

MAY 16, 2023

With the use of data science, you can understand your customer’s behavior, demographics, buying preferences, and history of product purchasing. It helps brands offer better deals per their service requirements and personalize their experience. “Data science and sales are like two sides of the same coin.

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Becoming Human

MAY 9, 2024

Artificial intelligence, machine learning, natural language processing, and other related technologies are paving the way for a smarter “everything.” Going further, we will explore the benefits of natural language processing in finance and its use cases. How Does Data Labeling Work in Finance?

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Dataconomy

OCTOBER 20, 2023

What makes them indispensable are features like live updates, shipment history, and estimated delivery times. Shipment history Another valuable feature is the ability to access a package’s shipment history. As cross-border commerce is booming, international deliveries have become the lifeblood of global trade.

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Dataconomy

APRIL 25, 2023

Rule-based system in artificial intelligence has brought us one step closer to the dream of creating machines that can reason and make decisions like humans. The ability of rule-based systems to provide transparency and interpretability has made them particularly attractive in domains where trust and accountability are critical.

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Data Science Dojo

JUNE 26, 2023

A large language model is a computer program that is trained and learns from a large amount of data. The machine is capable of understanding and generating human-like text based on the patterns and knowledge accumulated during the training process. Reading and comprehending all that information requires a great deal of time.

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Dataconomy

FEBRUARY 12, 2024

Here is how to hide chat on Instagram Live Meta aims to curtail default suggestions of such nature, yet users with a penchant for political discourse can opt to receive it through adjustments in Instagram and Threads’ settings. ” Why is my Instagram discover page different? You’re not alone in this predicament.

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Dataconomy

DECEMBER 15, 2023

History of GPTs so far Here’s a concise chronology of the GPT (Generative Pre-trained Transformer) series: GPT-1 (June 2018) : OpenAI introduced the first iteration of the Generative Pre-trained Transformer. It marked a significant advancement in natural language processing and understanding. But the plot thickened.

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Dataconomy

DECEMBER 6, 2023

Microsoft and OpenAI seem to be working hand in hand in this regard, as Microsoft Copilot and Microsoft’s other AI development initiatives are aided by the giant artificial intelligence company, perhaps the largest technology company in history. Let us explain. Here is a quick rundown of what’s new on Copilot.

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Data Science Dojo

MAY 19, 2023

By analyzing customer data, an AI-powered shopping assistant can suggest products that are relevant to the customer’s interests and buying history. This chatbot can use natural language processing to understand the user’s symptoms, medical history, and other relevant information to provide accurate health advice.

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DeepMind

DECEMBER 5, 2022

Successful communication and cooperation have been crucial for helping societies advance throughout history. The closed environments of board games can serve as a sandbox for modelling and investigating interaction and communication – and we can learn a lot from playing them.

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DeepMind

DECEMBER 5, 2022

Successful communication and cooperation have been crucial for helping societies advance throughout history. The closed environments of board games can serve as a sandbox for modelling and investigating interaction and communication – and we can learn a lot from playing them.

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Dataconomy

SEPTEMBER 19, 2023

For example, Bitcoin’s value skyrocketed from less than $1 in 2009 to over $60,000 in 2021, making it one of the most lucrative investments in recent history. Cryptocurrency, also known as digital or virtual currency, has taken the world by storm since its introduction in 2009 with the creation of Bitcoin.

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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. These fields involve the use of machine learning and artificial intelligence to enable machines to understand, interpret, and generate human language.

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Dataconomy

SEPTEMBER 11, 2023

Designed to simplify tasks and provide information through natural language commands, Siri is powered by advanced machine learning and artificial intelligence technologies. Once activated, you can ask questions, set reminders, send texts, and much more—all through natural language. What is Siri?

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Dataconomy

JULY 10, 2023

Decision intelligence plays a crucial role in modern organizations, enabling them to navigate the intricate and dynamic business landscape of today. By harnessing the power of data and analytics, companies can gain a competitive edge, enhance customer satisfaction, and mitigate risks effectively.

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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). Catch up on the history of Llama family – Read in detail about Llama 2 Key features of the LLM Meta’s latest addition to its family of LLMs is a powerful tool, boosting several key features that enable it to perform more efficiently.

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Towards AI

FEBRUARY 20, 2024

The authors argue that current generative AI models such as ChatGPT will go down in history as the first real-world examples of AGI. The authors argue that current generative AI models such as ChatGPT will go down in history as the first real-world examples of AGI. I claim that we will never get there.

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FlowingData

OCTOBER 12, 2022

The natural reaction from the public was that something sketchy happened, especially since the government has a history of sketchiness. There was a government-run lottery in the Philippines with a $4 million jackpot, and two improbable things happened. First, the numbers selected were all multiples of nine: 9, 45, 36, 27, 18, and 54.

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Dataconomy

OCTOBER 30, 2023

Given the multifaceted nature of the Google app, it’s plausible that the Optimizer app might have misread one of its components as a potential threat. Historical tensions Diving a bit into history, this incident inadvertently brings to light Huawei’s tumultuous relationship with Google.

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Mlearning.ai

MAY 5, 2023

These models, which are based on artificial intelligence and machine learning algorithms, are designed to process vast amounts of natural language data and generate new content based on that data. In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. Several natural language subprocesses within NLP work collaboratively to create conversational AI. DL models can improve over time through further training and exposure to more data.

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Towards AI

MARCH 20, 2023

What is the history and evolution of generative AI? How does natural language processing (NLP) relate to generative AI? Last Updated on March 20, 2023 by Editorial Team Source: Unsplash Top of the most common questions in generative AI answered TL;DR: Buckle up for an exciting ride through the world of Generative AI!

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Dataconomy

APRIL 12, 2023

Together, these fields have led to groundbreaking advancements in the development of intelligent machines that can learn, reason, and interact with humans in a more natural and intuitive way. Some of the most common techniques used in AI include machine learning, deep learning, natural language processing, and computer vision.

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Dataconomy

DECEMBER 8, 2023

Gemini AI stands out from its competitors due to its multimodal nature, seamlessly understanding and interacting with text, code, audio, video, and images. Gemini AI stands out from its competitors due to its multimodal nature, seamlessly understanding and interacting with text, code, audio, video, and images. Let us explain.

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Data Science Connect

JULY 29, 2023

Preventing Crime with Proactive Measures The proactive nature of AI facial recognition means law enforcement can intervene before a crime occurs. Identifying potential threats or individuals with a history of criminal behavior can prevent crimes from taking place.

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Mlearning.ai

APRIL 8, 2023

Introduction Natural language processing and deep learning models have seen significant advancements in the last decade, with attention-based Transformer models becoming increasingly popular for their ability to perform efficiently in various tasks that traditional Recurrent Neural Networks (RNNs) struggled with.

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