AI Weekly

OCTOBER 5, 2023

Powered by northeastern.edu In the News 10 Top AI Certifications 2023 AI certification is a credential awarded to individuals who possess a certain level of proficiency in an artificial intelligence job-related task. AI certifications are a great way to boost career growth for tech professionals.

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ODSC - Open Data Science

APRIL 4, 2025

The discussion will focus on strategies for creating models that are both publicly accessible and reproducible, emphasizing transparency and collaboration in AI research. Attendees will learn about mapping cognitive processes to enhance the interpretability and usability of AI systems in visual data analysis.

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Topbots

DECEMBER 5, 2023

Top LLM Research Papers 2023 1. LLaMA by Meta AI Summary The Meta AI team asserts that smaller models trained on more tokens are easier to retrain and fine-tune for specific product applications. The instruction tuning involves fine-tuning the Q-Former while keeping the image encoder and LLM frozen.

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Google Research AI blog

MAY 18, 2023

Posted by Lucas Dixon and Michael Terry, co-leads, PAIR, Google Research PAIR (People + AI Research) first launched in 2017 with the belief that “AI can go much further — and be more useful to all of us — if we build systems with people in mind at the start of the process.”

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Allen AI

FEBRUARY 1, 2024

I’m enthusiastic about getting OLMo into the hands of AI researchers,” said Eric Horvitz, Microsoft’s Chief Scientific Officer and a founding member of the AI2 Scientific Advisory Board.

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John Snow Labs

JANUARY 25, 2024

release in July, thanks to newly added support for ONNX models and the ability to accelerate and scale the calculation of text embeddings—a key step in preparing data for retrieval augmented generation (RAG) LLM solutions. Monthly downloads increased by 60% since the 5.0

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Marktechpost

MARCH 17, 2024

Companies can benefit from Vectorview’s assistance in avoiding costly mistakes and establishing user confidence by assuring the responsible deployment of AI. To ensure AI works as intended and to reduce security concerns, Vectorview supports responsible AI development.

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AWS Machine Learning Blog

JUNE 25, 2024

However, the implementation of LLMs without proper caution can lead to the dissemination of misinformation , manipulation of individuals, and the generation of undesirable outputs such as harmful slurs or biased content. Introduction to guardrails for LLMs The following figure shows an example of a dialogue between a user and an LLM.

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Flipboard

AUGUST 6, 2023

The tool connects Jupyter with large language models (LLMs) from various providers, including AI21, Anthropic, AWS, Cohere, and OpenAI, supported by LangChain. Designed with responsible AI and data privacy in mind, Jupyter AI empowers users to choose their preferred LLM, embedding model, and vector database to suit their specific needs.

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ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. are harnessed to channel LLMs output. Auto Eval Common Metric Eval Human Eval Custom Model Eval 3.

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Marktechpost

JULY 16, 2024

This issue is critical as it directly impacts user experience by prolonging response times, particularly in real-time applications such as complex question-answering systems and large-scale information retrieval tasks. COCOM involves compressing contexts into a set of context embeddings, significantly reducing the input size for the LLM.

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Marktechpost

DECEMBER 24, 2023

This paper (from a team of researchers from the University of Massachusetts Amherst, Columbia University, Google, Stanford University, and New York University) is a significant contribution to the ongoing discourse surrounding LLM safety, as it meticulously explores the intricate dynamics of these models during the finetuning process.

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Marktechpost

DECEMBER 12, 2023

They propose distinct guidelines for labeling LLM output (responses from the AI model) and human requests (input to the LLM). Thus, the semantic difference between the user and agent responsibilities can be captured by Llama Guard. All credit for this research goes to the researchers of this project.

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ODSC - Open Data Science

FEBRUARY 29, 2024

If you’re curious, here are eight AI research labs that are leading the way in AI research that you’d want to keep an eye on. From responsible AI to protein discovery and more, The MIT Media Lab aims to drive AI research to create a “transformative future” while working toward the social good.

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Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. Avoiding accidental consequences: AI systems trained on poorly designed prompts can lead to consequences.

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Marktechpost

SEPTEMBER 12, 2024

OpenAI has once again pushed the boundaries of AI with the release of OpenAI Strawberry o1 , a large language model (LLM) designed specifically for complex reasoning tasks. OpenAI o1 represents a significant leap in AI’s ability to reason, think critically, and improve performance through reinforcement learning.

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Towards AI

NOVEMBER 14, 2023

So, we think it is essential to see detailed studies on AI adoption across industries so we can start to plan for both the positive and negative impacts of this technology. Clearly, in some areas, LLM adoption is already significantly impacting employees, both negatively (wage reduction) and positively (productivity and quality improvement).

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Towards AI

NOVEMBER 16, 2023

In this episode, they discussed the democratization of AI, advancements in AI-assisted coding, and the ethics of innovation. Paige also discussed the need for responsible AI development, the importance of careful product design around LLMs, the role of a product manager within AI research teams, and much more.

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Marktechpost

OCTOBER 21, 2024

A team of researchers from Microsoft Responsible AI Research and Johns Hopkins University proposed Controllable Safety Alignment (CoSA) , a framework for efficient inference-time adaptation to diverse safety requirements. The adapted strategy first produces an LLM that is easily controllable for safety.

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Marktechpost

SEPTEMBER 18, 2024

Mistral AI recently announced the release of Mistral-Small-Instruct-2409 , a new open-source large language model (LLM) designed to address critical challenges in artificial intelligence research and application. This approach also aligns with growing concerns about the ethical implications of AI technology.

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Towards AI

SEPTEMBER 26, 2024

In this blog, we explore how Bright Data’s tools can enhance your data collection process and what the future holds for web data in the context of AI. The Key Role of Web Data in AI and LLM Development Web data has become an essential resource for training AI models, improving performance, and enabling applications across industries.

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ODSC - Open Data Science

OCTOBER 3, 2023

So be sure to stay up-to-date with the latest advancements in AI research and model updates, as this field evolves rapidly. Linguistic Expertise Prompts are essentially instructions given to AI models, and they are often in the form of natural language.

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Marktechpost

JULY 15, 2023

Here are some other open-source large language models (LLMs) that are revolutionizing conversational AI. LLaMA Release date : February 24, 2023 LLaMa is a foundational LLM developed by Meta AI. It is designed to be more versatile and responsible than other models. Check out the Paper and GitHub link.

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Marktechpost

DECEMBER 4, 2024

Allen Institute for AI (AI2) was founded in 2014 and has consistently advanced artificial intelligence research and applications. OLMo is a large language model (LLM) introduced in February 2024. These enhancements empower researchers to synthesize information efficiently, streamlining the research process.

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TheSequence

JUNE 25, 2023

Created Using Midjourney Next Week in The Sequence: Edge 303: Our series about new methods in generative AI continues with an exploration of different retrieval-augmented foundation model techniques. We discuss Meta AI’s famous Atlas paper as well as the innovative Lamini framework for LLM fine-tuning. Please register!

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AWS Machine Learning Blog

MAY 9, 2024

Governance Establish governance that enables the organization to scale value delivery from AI/ML initiatives while managing risk, compliance, and security. Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI.

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ODSC - Open Data Science

FEBRUARY 25, 2025

Whats Next in AI TrackExplore the Cutting-Edge Stay ahead of the curve with insights into the future of AI. Machine Learning TrackDeepen Your ML Expertise Machine learning remains the backbone of AI innovation. This track will explore how AI and machine learning are accelerating breakthroughs in life sciences.

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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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AWS Machine Learning Blog

NOVEMBER 30, 2023

Customers like Ricoh have trained a Japanese LLM with billions of parameters in mere days. This means customers will be able to train a 300 billion parameter LLM in weeks versus months. Booking.com intends to use generative AI to write up tailored trip recommendations for every customer.

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ODSC - Open Data Science

APRIL 3, 2024

Session: Setting Up Text Processing Models for Success: Formal Representations versus Large Language Models Kate Soule Program Director for Generative AI Research at IBM Kate Soule’s current work puts her at the leading edge of the industry.

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ODSC - Open Data Science

JANUARY 11, 2024

The EU Unveils “The AI Act” — First AI-Focused Legislative Proposal by a Major Regulator At the start of 2023, the European Union unveiled a first-of-its-kind set of regulations aimed at artificial intelligence, which was named the AI Act. Databricks Introduces Dolly 2.0:

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ODSC - Open Data Science

MARCH 12, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Much of which falls under the sub-field of responsible AI.

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Topbots

DECEMBER 19, 2023

Presenters from various spheres of AI research shared their latest achievements, offering a window into cutting-edge AI developments. In this article, we delve into these talks, extracting and discussing the key takeaways and learnings, which are essential for understanding the current and future landscapes of AI innovation.

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deepsense.ai

JUNE 4, 2023

The partnership between OpenAI and Microsoft dates back to November 2021, and it seems that their common goal and a shared ambition to responsibly advance cutting-edge AI research and democratize AI as a new technology platform only strengthens this collaboration. Microsoft is one of the biggest public cloud providers.

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ODSC - Open Data Science

DECEMBER 2, 2024

In a recent episode of ODSC’s Ai X Podcast , which was recorded live during ODSC West 2024 , Gary Marcus, an influential AI researcher, shared a critical perspective on the limitations of large language models (LLMs), emphasizing the need for true reasoning capabilities in AI.

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Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation. Vertex AI, Google’s comprehensive AI platform, plays a pivotal role in ensuring a safe, reliable, secure, and responsible AI environment for production-level applications.

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Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation. Vertex AI, Google’s comprehensive AI platform, plays a pivotal role in ensuring a safe, reliable, secure, and responsible AI environment for production-level applications.

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