Towards AI

MAY 6, 2024

Since Meta released the latest open-source Large Language Model (LLM), Llama3, various development tools and frameworks have been actively integrating Llama3. Copilot is an AI-powered code assistance tool initially developed by GitHub and OpenAI. Subsequently, other vendors have launched similar products.

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AI Weekly

FEBRUARY 22, 2024

techcrunch.com Microsoft-backed OpenAI valued at $80bn after company completes deal Company to sell existing shares in ‘tender offer’ led by venture firm Thrive Capital, in similar deal as early last year theguardian.com Applied use cases AI is making critical health care decisions. venturebeat.com Ethics China’s Rush to Dominate A.I.

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Flipboard

MARCH 30, 2023

The context: Large language models, or LLMs, are algorithms that power artificial intelligence systems such as OpenAI’s ChatGPT. They can ingest huge amounts of data, learn from those datasets to improve the algorithm, and perform a variety of natural language processing tasks.

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Topbots

FEBRUARY 19, 2024

However, building a successful LLM application involves much more than just leveraging advanced technology. When embarking on the journey of building an LLM application, one of the first and most crucial decisions is choosing the foundation model. Create Targeted Evaluation Sets for Comparing LLM Performance in Your Specific Use Case.

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Unite.AI

DECEMBER 7, 2023

Recently, there has been considerable speculation within the AI community surrounding OpenAI's alleged project, Q-star. Background of Mystery It all began when the board of governors at OpenAI suddenly ousted Sam Altman , the CEO, and co-founder. Although Altman was reinstated later, questions persist about the events.

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Heartbeat

NOVEMBER 22, 2023

Create a Simple E-commerce Chatbot Using OpenAI + CometLLM Forget about complicated Deep Learning algorithms — making a chatbot is way simpler with OpenAI and CometLLM. I write about Machine Learning on Medium || Github || Kaggle || Linkedin. ? Building a Shopbot using OpenAI and CometLLM 1.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). It uses deep learning algorithms and large neural networks trained on vast datasets of diverse existing source code.

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Marktechpost

NOVEMBER 29, 2023

With the development of Large Language Models (LLMs) in recent times, these models have brought about a paradigm change in the fields of Artificial Intelligence and Machine Learning. Transparency – RAG implementation enables users to retrieve the sources of the model in LLM-based Q&A systems.

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Marktechpost

JULY 3, 2023

With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. The LLM consumes the text data during training and tries to anticipate the following word or series of words depending on the context.

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Becoming Human

MAY 15, 2023

When it comes to AI, there are a number of subfields, like Natural Language Processing (NLP). One of the models used for NLP is the Large Language Model (LLMs). As a result, LLMs have become a key tool for a wide range of NLP applications. You can even try this out on the OpenAI website to get a feel.

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Mlearning.ai

JUNE 14, 2023

Learning Large Language Models The LLM (Foundational Models) space has seen tremendous and rapid growth. I used this foolproof method of consuming the right information and ended up publishing books , artworks , Podcasts and even an LLM powered consumer facing app ranked #40 on the app store. YouTube BERT Research — Ep.

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Flipboard

JULY 4, 2023

The well-known chatbot called ChatGPT, based on GPT architecture and developed by OpenAI, imitates humans by generating accurate and creative content, answering questions, summarizing massive textual paragraphs, and language translation. They serve as a filter used to run new data during the inference phase of machine learning.

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Marktechpost

NOVEMBER 27, 2023

Based on the fundamentals of Natural Language Processing, Understanding, and Generation, these models have immense potential to bring a shift in almost every industry. GPT-4, which was recently introduced by OpenAI, has become extremely popular due to its multimodal nature. Unlike GPT 3.5,

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Mlearning.ai

MAY 5, 2023

A basic introduction to large language models and their emergence Source: Here “GPT is like alchemy!”  — Ilya Sutskever, chief scientist of OpenAI WE CAN CONNECT ON :| LINKEDIN | TWITTER | MEDIUM | SUBSTACK | In recent years, there has been a great deal of buzz surrounding large language models, or LLMs for short.

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ODSC - Open Data Science

NOVEMBER 8, 2023

There’s a lot to learn for those looking to take a deeper dive into generative AI and actually develop those tools that others will use. In this blog, we’ll explore ten key aspects of building generative AI applications, including large language model basics, fine-tuning, and core NLP competencies. Plan accordingly!

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Marktechpost

JUNE 29, 2023

One of the best examples of the trending LLMs is the chatbot developed by OpenAI, called ChatGPT, which imitates humans and has had millions of users since its release. Wanda works well without needing to be retrained or get its weights updated, and the reduced LLM has been applied to inference immediately.

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Towards AI

MAY 2, 2023

In this post, we explore the concept of querying data using natural language, eliminating the need for SQL queries or coding skills. Natural Language Processing (NLP) and advanced AI technologies can allow users to interact with their data intuitively by asking questions in plain language.

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Towards AI

MARCH 26, 2024

Photo by AbsolutVision on Unsplash Introduction Last Saturday marked exactly one year since OpenAI released public access to their models. Firstly, it was our first LLM-powered implementation on production, so there’s always a special feeling about that. I like this implementation for several reasons. Don’t abuse this approach.

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ODSC - Open Data Science

DECEMBER 1, 2023

MLOps End-to-end Machine Learning Operations (MLOps) with Azure Machine Learning In this learning path, you’ll learn how to implement key concepts to build an end-to-end MLOps solution. Then you’ll practice training a pretrained Large Language Model (LLM) on specific tasks.

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Marktechpost

JULY 26, 2023

Many recent natural language processing (NLP) community efforts have focused on teaching large language models to understand better and follow instructions. Recent research has demonstrated that LLMs may also benefit from teachings. However, manually developing this kind of instructional data takes time and effort.

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Marktechpost

JULY 27, 2023

Developed by OpenAI, this chatbot does everything from answering questions precisely, summarizing long paragraphs of textual data, completing code snippets, translating the text into different languages, and so on. It can also translate spoken communication into printed text.

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Unite.AI

FEBRUARY 23, 2024

The journey continues with “NLP and Deep Learning,” diving into the essentials of Natural Language Processing , deep learning's role in NLP, and foundational concepts of neural networks. Expert Creators : Developed by renowned professionals from OpenAI and DeepLearning.AI.

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Heartbeat

JANUARY 26, 2024

I write about Machine Learning on Medium || Github || Kaggle || Linkedin. ? Create a Simple E-commerce Chatbot With OpenAI Why Memory Matters in Conversational Agents When users interact with chatbots, they often expect a level of continuity and understanding similar to human conversations. Follow “Nhi Yen” for future updates!

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ODSC - Open Data Science

AUGUST 24, 2023

New York Times Considering Lawsuit Against OpenAI The New York Times is looking into possible litigation against OpenAI due to intellectual property rights. AI Design Studio Global Illumination Acquired by OpenAI New York-based AI start-up Global Illumination was acquired by AI-powered Chatbot ChatGPT maker OpenAI last week.

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Marktechpost

DECEMBER 12, 2023

Thanks to the success in increasing the data, model size, and computational capacity for auto-regressive language modeling, conversational AI agents have witnessed a remarkable leap in capability in the last few years. They propose distinct guidelines for labeling LLM output (responses from the AI model) and human requests (input to the LLM).

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TheSequence

MAY 29, 2023

In this post Toloka showcases Human-in-the-Loop using StarCoder, a code LLM, as an example. Responsible AI starts with a responsible approach to data The promise of Large Language Models (LLMs) is that they will help us with a variety of different tasks. These datasets are usually scraped from the internet. Looking through 6.4

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ODSC - Open Data Science

MAY 9, 2024

From state-of-the-art language models to innovative AI-driven applications, to new open-source models hoping to take away GPT’s crown, let’s take a tour of some of the most notable AI tools and top LLMs that are working to shape how 2024 concludes, and how AI will shape the future.

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Towards AI

APRIL 12, 2023

Soon to be followed by large general language models like BERT (Bidirectional Encoder Representations from Transformers). In hindsight, these companies might have been too early in their evolution, as they missed the boat by being early on what groundbreaking advances OpenAI brought to the world.

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IBM Journey to AI blog

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). Foundation models can use language, vision and more to affect the real world.

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Marktechpost

JULY 4, 2023

A model’s parameters are the components learned from previous training data and, in essence, establish the model’s proficiency on a task, such as text generation. Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc.,

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O'Reilly Media

AUGUST 8, 2023

The number of searches for Machine Learning itself held steady, though it arguably declined slightly when ChatGPT appeared. Removing ChatGPT and Machine Learning from the previous graph makes it easier to see trends in the other popular search terms: It’s mostly “up and to the right.”

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Marktechpost

NOVEMBER 30, 2023

AI enables computers to think and learn in a manner comparable to that of humans by imitating human brainpower. The Release of GPT-4 Large Language Models (LLMs) have recently gained a loy of attention and popularity. The convergence of modalities empowers them to make more accurate predictions and judgments.

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Marktechpost

JULY 14, 2023

Large Language Models (LLMs) have rapidly gained enormous popularity by their extraordinary capabilities in Natural Language Processing and Natural Language Understanding. The recent model developed by OpenAI, which has been in the headlines, is the well-known ChatGPT.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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John Snow Labs

AUGUST 31, 2023

Clinical bias in LLM (Language Learning Models) refers to the unfair or unequal representation or treatment based on medical or clinical information. LangTest: Deliver Safe and Effective Language Models The surge in healthcare-specific machine learning models has presented a myriad of opportunities and challenges.

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Snorkel AI

JUNE 23, 2023

Enterprises—especially the world’s largest—are excited to use large language models , but they want to fine-tune them on proprietary data. This practice adjusts the weights in the underlying model and yields more useful performance from LLMs. But this approach requires labeled data—and a fair amount of it.

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Snorkel AI

JUNE 23, 2023

Enterprises—especially the world’s largest—are excited to use large language models , but they want to fine-tune them on proprietary data. This practice adjusts the weights in the underlying model and yields more useful performance from LLMs. But this approach requires labeled data—and a fair amount of it.

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