Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. A transformer architecture is typically implemented as a Large language model.

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Marktechpost

NOVEMBER 26, 2023

Inflection AI developed a Large Language Model with the best right up there. The company states that its model, Inflection-2 , is the second most capable in the world, just behind OpenAI’s latest creation. By doing so, they can significantly impact their models, even on a smaller scale.

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ODSC - Open Data Science

SEPTEMBER 28, 2023

5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AI models to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. The Implications of Scaling Airflow Wondering why you’re spending days just deploying code and ML models? George R.R.

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Unite.AI

OCTOBER 18, 2023

This year, the report underscores some particularly significant advancements in the field of Large Language Models (LLMs), emphasizing their growing influence and the broader implications for the AI community. OpenAI and Meta AI, two giants in the AI landscape, have adopted contrasting stances on the issue of openness.

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Towards AI

FEBRUARY 6, 2024

What happened this week in AI by Louie This week, attention was on the emerging competition for OpenAI’s GPT-4 and GPTStore in the form of Google’s Gemini Ultra and Hugging Face’s Hugging Chat Assistants, respectively. Meta also made headlines with its latest and largest update to its code generation AI model, Code Llama 70B.

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Towards AI

FEBRUARY 16, 2024

Last Updated on February 16, 2024 by Editorial Team Author(s): Leo Tisljaric, PhD Originally published on Towards AI. In this article, you will find a guide to set up your local Ubuntu-based machine for training AI models using GPU acceleration. Before we continue, give me a second of your time.

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Towards AI

JUNE 11, 2024

Last Updated on June 13, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. As with any Gen AI production use case, Apple had to decide which features to build into its products first, how to implement them, and choose between many tradeoffs.

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AI News

MARCH 4, 2024

In addition to these measures, the advisory orders all intermediaries or platforms to ensure that any AI model product – including large language models (LLM) – does not permit bias, discrimination, or threaten the integrity of the electoral process.

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IBM Journey to AI blog

APRIL 24, 2024

Prompt injections are a type of attack where hackers disguise malicious content as benign user input and feed it to an LLM application. The hacker’s prompt is written to override the LLM’s system instructions, turning the app into the attacker’s tool. It wasn’t hard to do. For example, the remoteli.io

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Unite.AI

MARCH 15, 2024

It uses advanced AI and semantic search technologies to transform online search. Moreover, the search engine uses LLM combined with live data to answer questions and summarize information based on the top sources. AI Summaries: Provides AI generated summaries with images and videos for insights.

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Marktechpost

DECEMBER 12, 2023

Consequently, it is advised that products powered by Generative AI implement safeguards to prevent the generation of high-risk content that violates policies, as well as to prevent adversarial inputs and attempts to jailbreak the model. Using the ability of LLM models to obey commands, they can accomplish this with just one model.

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ODSC - Open Data Science

JANUARY 23, 2024

One of the biggest topics we touched on was the concept of retrieval augmented generation, better known as RAG , for LLMs. In this post, I take a closer look at how RAG has emerged as the ideal starting point when it comes to designing enterprise LLM-powered applications. You can imagine it as a pyramid, where… Train from scratch.

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Towards AI

AUGUST 31, 2023

Prompting, with respect to LLMs and Generative AI, refers to the act of formatting the commands you need to provide the model to receive the desired output. The responses from the LLM or any other Generative AI model are as good as the prompts (commands) provided to it.

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Towards AI

MAY 7, 2024

What happened this week in AI by Louie This week, we were again watching developments in AI-powered robots and LLMs. Perhaps the US AI chip export ban to China is having some impact on driving focus on innovations and efficiency! GPT-4 or GPT-3). Deploy today:– NVIDIA’s L40S GPU (48GB) @ $1.32/hour–

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TheSequence

JUNE 7, 2023

👤 Quick bio Tell us a bit about yourself: your background, current role, and how you got started in machine learning. We help developers build reliable applications on top of LLMs like GPT-4. Today, it seems to me, that the most exciting and challenging problems are in AI. Evaluation is subjective and difficult.

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Unite.AI

FEBRUARY 23, 2024

Prompt engineering is the art and science of crafting inputs (or “prompts”) to effectively guide and interact with generative AI models, particularly large language models (LLMs) like ChatGPT. Up-to-Date Industry Topics : Includes the latest developments in AI models and their applications.

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AssemblyAI

AUGUST 3, 2023

Much of current AI research aims to design LLMs that seek helpful, truthful, and harmless behavior. One such method, Reinforcement Learning from Human Feedback (RLHF) , is currently leading the charge. RLHF as Human Preference Tuning RLHF is about teaching an AI model to understand human values and preferences.

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Towards AI

FEBRUARY 20, 2024

For the first time, the DeepMind LLM model has shown significant improvements in terms of capability compared to OpenAI’s GPT-4. The DeepMind LLM model has a context window of 1 million tokens, relative to GPT-4’s 128k and Anthropic Claude’s 200k, with up to 10 million tests internally. The Gemini Pro 1.5

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IBM Journey to AI blog

SEPTEMBER 19, 2023

How does generative AI code generation work? 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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AI Weekly

AUGUST 31, 2023

Powered by appliedintelligence.live In the News 10 Great Colleges For Studying Artificial Intelligence Interest in AI is on the rise—here are 10 schools that offer undergraduate majors or minors in machine learning and AI. zdnet.com Nvidia’s stock closes at record after Google AI partnership Nvidia shares rose 4.2%

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Towards AI

JANUARY 30, 2024

Last Updated on January 30, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we were interested in seeing several new AI models and studies focusing on medical applications and diagnostics. Turbo model.

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Towards AI

FEBRUARY 29, 2024

If you are excited to dive into applied AI, want a study partner, or even want to find a partner for your passion project, join the collaboration channel! Samuraipizza is pursuing a self-education project to train an LLM with time series data and let it predict the next iteration. If this is your domain, connect in the thread!

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Towards AI

SEPTEMBER 5, 2023

What happened this week in AI by Louie This week in AI, we highlight further evidence of the adoption of Large Language Models (LLMs) driving significant revenue growth in the Western market, as well as the introduction of new AI models in China. Test it out now — at no charge!

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Unite.AI

MARCH 15, 2024

Recent reports from Bloomberg and the Financial Times shed light on Sam Altman's, the CEO of OpenAI, negotiations with Middle-Eastern investors to initiate chip production, aiming to reduce the AI sector's reliance on Nvidia chips. Challenging Nvidia, with its nearly $1.5 Additionally, platforms like Together.ai

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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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AssemblyAI

MARCH 18, 2024

  In this article, you’ll learn more about building with LLMs and the top business use cases for Generative AI tools and applications.    What is Generative AI? What are Large Language Models (LLMs)?   Content generation can come in a variety of forms.

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Towards AI

MARCH 12, 2024

What happened this week in AI by Louie This week, we saw a continued rapid pace of new LLM releases and the recent accelerated development of robotics foundation models. Google recently released its first fully open LLM model series — Gemma. Inflection-2.5 Hottest News 1. Notably, Inflection-2.5 Inflection-2.5

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Towards AI

NOVEMBER 21, 2023

Last Updated on November 22, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, all attention was on the whirlwind series of events at OpenAI, which unfortunately eclipsed several interesting new model releases.

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Marktechpost

AUGUST 17, 2023

Researchers prefer to use open-source models to produce synthetic data and avoid utilizing data with restrictive licenses. They compare four common databases of code instructions: xP3x, which compiles results from widely used code benchmarks A lax Code LLM enables Independent data generation by scholars.

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ODSC - Open Data Science

JANUARY 3, 2024

ODSC Recap: Microsoft Copilot add AI Music Creation: In a blog post, Microsoft announced a new AI-powered music creation feature in its Copilot program. Apple’s Ferret LLM Getting New Attention: Back in October, a team of researchers from Apple and Columbia University subtly released its own large language model named Ferret.

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Towards AI

APRIL 9, 2024

Last Updated on April 9, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie For the past few weeks, we have been following an increased pace of voice and music AI model releases.

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Towards AI

JANUARY 9, 2024

What happened this week in AI by Louie This week, we have been watching signs of competition heating up in LLM Chatbot products, with Google and Microsoft developing their ChatGPT alternatives. The news of the GPT Store release follows a report in the Information that OpenAI has reached $1.6 Billion OpenAI recently topped $1.6

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Artificial Corner

JUNE 4, 2023

Learn to use LangChain and Pinecone to build LLM agents that can access the internet and knowledge bases Photo by Google DeepMind on Unsplash AI agents are revolutionizing how we approach problem-solving. These tool wielding agents are essential to make deeper interations between us and our models.

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ODSC - Open Data Science

FEBRUARY 6, 2024

Large Language Models are everywhere these days. Stay at the forefront of increasingly ubiquitous technology with the leading AI training conference, ODSC East this April 23rd-25th in Boston. Check out some of the LLM-focused training sessions, workshops, and talks you’ll find at the conference.

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Towards AI

AUGUST 22, 2023

Last Updated on August 23, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. This is consistent with the company’s strategy so far of releasing widely available AI software that makes developing new customizable AI models much easier.

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Towards AI

MARCH 28, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, I’m super excited to announce that we are finally releasing our book, ‘Building AI for Production; Enhancing LLM Abilities and Reliability with Fine-Tuning and RAG,’ where we gathered all our learnings.

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O'Reilly Media

MARCH 26, 2024

As Mike Loukides and Tim O’Reilly astutely point out : A model prompted to write like Shakespeare may start with the word “To,” which makes it slightly more probable that it will follow that with “be,” which makes it slightly more probable that the next word will be “or”—and so forth.

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