AI Weekly

APRIL 11, 2024

artificialintelligence-news.com Meta confirms that its Llama 3 open source LLM is coming in the next month On Tuesday, Meta confirmed that it plans an initial release of Llama 3 — the next generation of its large language model used to power generative AI assistants — within the next month. No legacy process is safe.

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John Snow Labs

AUGUST 31, 2023

With the release of NLP Lab 5.3, we’re taking a leap forward by integrating one of the most advanced Large Language Models (LLMs) available today: Open AI’s GPT models. Join me on this journey to explore the transformative potential of ChatGPT prompts for entity recognition in NLP Lab 5.3.

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Marktechpost

JULY 20, 2023

Natural language processing (NLP) has seen a paradigm shift in recent years, with the advent of Large Language Models (LLMs) that outperform formerly relatively tiny Language Models (LMs) like GPT-2 and T5 Raffel et al. on a variety of NLP tasks. Figure 1 depicts a sample of the summarising job.

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ODSC - Open Data Science

SEPTEMBER 6, 2023

Most people who have experience working with large language models such as Google’s Bard or OpenAI’s ChatGPT have worked with an LLM that is general, and not industry-specific. CaseHOLD is a new dataset for legal NLP tasks. The CaseHOLD dataset was created to address the lack of large-scale, domain-specific datasets for legal NLP.

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AWS Machine Learning Blog

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness.

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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. With so much information out there.

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Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. 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. Check out the Paper.

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ODSC - Open Data Science

JANUARY 31, 2024

But, now that you have the makings of an LLM or even a model, how will your team turn your model into an AI beast that can enhance your company’s productivity? There are now many groups who are ready to fill in the gap and help companies unlock the potential of their LLMs. Let’s explore some of the top contenders.

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Ehud Reiter

DECEMBER 28, 2023

Human+LLMs make fewer mistakes than humans on their own Coming back to NLP, some of my students have seen that doctors who work with LLMs can produce more accurate reports. LLMs are poor at some types of reasoning and can be confused by statistically unlikely situations. So But that doesnt mean that it is useless.

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ODSC - Open Data Science

FEBRUARY 6, 2024

Check out some of the LLM-focused training sessions, workshops, and talks you’ll find at the conference. NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning Dr. Jon Krohn | Chief Data Scientist | Nebula.io

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IBM Journey to AI blog

SEPTEMBER 28, 2023

included the Slate family of encoder-only models useful for enterprise NLP tasks. However, choosing the “right” LLM from a collection of thousands of open-source models is not an easy endeavor and requires a careful examination of the tradeoffs between cost and performance. ” The initial release of watsonx.ai

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Artificial Corner

AUGUST 29, 2023

In this article, we will explore beam.cloud , an easy and powerful swiss-army-knife for running LLMs and code directly on the cloud. We’ll discuss how it streamlines workflows for NLP tasks, enables real-time conversations with giant conversational models, and much more. I will explain the process in a bit.

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IBM Journey to AI blog

OCTOBER 16, 2023

The rise of the foundation model ecosystem (which is the result of decades of research in machine learning), natural language processing (NLP) and other fields, has generated a great deal of interest in computer science and AI circles. The development and use of these models explain the enormous amount of recent AI breakthroughs.

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ODSC - Open Data Science

SEPTEMBER 19, 2023

Engineers provide insights into the technical feasibility and challenges of proposed features, scientists contribute their understanding of NLP techniques, and product managers bring the user perspective, helping to shape the direction of LLM development. If anything, it’s more important.

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Allen AI

JUNE 19, 2023

However, LLMs also carry risks that have already led to real harm, and while it shouldn’t be the responsibility of the user to figure out these risks on their own, current tools often don’t explain these risks or provide safeguards. But the key takeaway is that LLMs are trained to produce text that looks good to humans.

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Ehud Reiter

MARCH 26, 2023

One of the things I most dislike about academic NLP research is the focus on leaderboards. A leaderboard is essentially a scorecard of how well different systems do on an NLP task, ie how well they perform on a fixed dataset as measured by specified evaluation metrics. I explained my dislike of leaderboards ia a previous blog.

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John Snow Labs

JANUARY 29, 2024

Several such case studies were presented by the US Veteran’s Administration , ClosedLoop , and WiseCube at John Snow Labs’ annual Natural Language Processing (NLP) Summit , now the world’s largest gathering of applied NLP and LLM practitioners.

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ODSC - Open Data Science

SEPTEMBER 20, 2023

For example, if you’re discussing a medical topic, you might begin with, “Considering recent advances in medical research, explain the potential benefits of gene therapy for inherited diseases.” Now if you want to take your prompting to the next level, then you don’t want to miss ODSC West’s LLM Track.

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Unite.AI

MAY 31, 2023

Since LLM neurons offer rich connections that can express more information, they are smaller in size compared to regular NNs. Hence, it becomes easier for researchers to explain how an LNN reached a decision. Consider sentiment analysis, an NLP task that aims to understand the underlying emotion behind text.

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ODSC - Open Data Science

FEBRUARY 5, 2024

This milestone is highlighted by a staggering 82 million downloads of its Spark NLP library and a significant expansion in its NLP Lab offerings. The open-source Spark NLP library witnessed a 60% increase in monthly downloads following its 5.0

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ODSC - Open Data Science

OCTOBER 3, 2023

You should be comfortable using tools and libraries for NLP to automate this process. So being able to convey your ideas, explain the rationale behind your prompts, and receive feedback from a diverse group of people is crucial when it comes to success. This involves both quantitative and qualitative analysis.

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NVIDIA

NOVEMBER 15, 2023

The paper, with coauthors from the former Facebook AI Research (now Meta AI), University College London and New York University, called RAG “a general-purpose fine-tuning recipe” because it can be used by nearly any LLM to connect with practically any external resource. Today, LLMs are taking question-answering systems to a whole new level.

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Unite.AI

APRIL 17, 2024

In recent years, Natural Language Processing (NLP) has undergone a pivotal shift with the emergence of Large Language Models (LLMs) like OpenAI's GPT-3 and Google’s BERT. These models, characterized by their large number of parameters and training on extensive text corpora, signify an innovative advancement in NLP capabilities.

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ODSC - Open Data Science

JANUARY 29, 2024

Fine-tuning is important for applying domain-specific knowledge to an existing LLM which provides better performance and prompt results Inference Efficiency An emergent skill in late 2023, its inclusion speaks to its importance. This enhances the context awareness and factual accuracy of LLM outputs.

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ODSC - Open Data Science

OCTOBER 2, 2023

In the past year, there has been a surge of interest in large language models and LLM agents. As large language models continue their assent into multiple fields, they will begin to branch off and become more domain-specific to tackle complex problems that general LLMs aren’t well suited for. This makes LLama2.c

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Unite.AI

JULY 5, 2023

Their latest large language model (LLM) MPT-30B is making waves across the AI community. The MPT-30B: A Powerful LLM That Exceeds GPT-3 MPT-30B is an open-source and commercially licensed decoder-based LLM that is more powerful than GPT-3-175B with only 17% of GPT-3 parameters, i.e., 30B. It outperforms GPT-3 on several tasks.

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ODSC - Open Data Science

AUGUST 30, 2023

Not only are they trained on more specific data geared toward your industry, but they also often come with a laundry list of benefits that make creating or buying an industry-specific LLM well worth the price. So let’s take a look at a few examples of benefits that domain/industry-specific LLMs bring to the table.

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ODSC - Open Data Science

AUGUST 29, 2023

AI Prompt Engineer An AI Prompt Engineer is a specialized professional at the forefront of the AI and NLP landscape. Where their expertise lies in the ability to craft input instructions that guide AI models such as GPT-4 so that these LLMs can produce accurate and contextually relevant outputs.

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Bugra Akyildiz

APRIL 20, 2024

The initial version of the Text-to-SQL solution relied on an LLM as the core component. This information, along with the specific SQL dialect used at Pinterest, would then be compiled into a prompt and fed into the LLM. The LLM would then generate the SQL code to address the user's question.

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AWS Machine Learning Blog

AUGUST 14, 2023

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks. You can also access the foundation models thru Amazon SageMaker Studio.

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IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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ODSC - Open Data Science

AUGUST 24, 2023

The advent of Transformer Architecture has indeed revolutionized the field of Natural Language Processing (NLP) by introducing a design that efficiently harnesses both data and computing power. Prompt Engineering: The goal is to steer the LLMs through refined prompts for effective instruction understanding and execution.

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ODSC - Open Data Science

OCTOBER 20, 2023

You’ll also learn about the latest tools in NLP, machine learning, MLOps, and more during the Solution Talks. In this Showcase Talk, you’ll learn how to turn audio into high-fidelity text with NLP and derive actionable, valuable insights. Want to take a deeper dive into topics like LLMs, Generative AI, Machine Learning, NLP, and more?

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Marktechpost

NOVEMBER 11, 2023

The Giskard scan is not limited to standard NLP models; it extends its capabilities to LLMs, showcasing vulnerability scans for an LLM RAG model referencing the IPCC report. It suggests tests, explains word contributions to predictions and offers automatic actions based on insights.

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Heartbeat

FEBRUARY 29, 2024

After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution. The LLM Ecosystem The impact of LLMs extends beyond mere code generation.

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ODSC - Open Data Science

AUGUST 24, 2023

Get Started with NLP With Our New Introduction to NLP Course Gain the skills needed to start a successful career in natural language processing with our new introduction to NLP course! In addition, we’ll discuss a variety of tools that form the modern LLM application development stack. But it doesn’t stop there.

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