Mlearning.ai

FEBRUARY 1, 2024

Another reason why this research is important is that there are often trade-offs between different metrics in e-commerce. There can be a trade-off between optimizing for a higher conversion rate and maximizing the average order value. The basic idea is that users’ multiple types of behavior sequences on items (e.g.,

Neural Network 52

Neural Network Algorithm Machine Learning ML 52

Flipboard

AUGUST 1, 2023

Independent regulators like the Federal Trade Commission have been going public to outline how they plan to approach the technology. Santiago/Getty Images Federal Trade Commission chair Lina Khan stands poised to be a leading figure in regulation concerning the near-term implications of AI. I hear you loud and clear.”

Explainability 119

Explainability Artificial Intelligence Artificial Intelligence AI 119

Unite.AI

MARCH 25, 2024

The key idea behind DynamiCrafter is to incorporate the image as guidance into the generative process in an attempt to utilize the motion prior of the already existing text to video diffusion models. The DynamiCrafter framework attempts to synthesize dynamic content for open-domain images, converting them into animated videos.

Computer Vision 130

Computer Vision Artificial Intelligence Artificial Intelligence AI 130

AI Impacts

FEBRUARY 6, 2023

2 Insofar as an agent (not necessarily an actor that can take directly important actions) has distinctive abilities and is likely to try to execute good ideas you have, it can be helpful to focus on what the agent can do or how to leverage the agent's distinctive abilities rather than backchain from what would be good.

AI Strategy 130

AI Strategy AI AI ML 130

Flipboard

MARCH 3, 2023

The project, which was inspired by Patrick Zeinali’s YouTube short “ Robot Vs Human Bake Off ,” was born earlier this year after Meng was laid off from her job as a software engineer. Megan Ulu-Lani Boyanton reports on the business beat at the Denver Post , and previously covered agriculture and trade policy for Bloomberg Government.

ChatGPT 123

ChatGPT Software Engineer Robotics Artificial Intelligence 123

Topbots

JUNE 6, 2023

Specifically, we will cover the topics of task selection for autoregressive models, the evolving trade-offs between commercial and open-source LLMs, as well as LLM integration and the mitigation of failures in production. The short answer is: ChatGPT is great for many things, but it does by far not cover the full spectrum of AI.

LLM 105

LLM ChatGPT Prompt Engineer Prompt Engineering 105

Unite.AI

AUGUST 21, 2023

The idea is aligned with standard coding practices, as developers often use unit tests to gauge the efficacy and accuracy of their code. High trading volumes on specific days indicate significant market interest or reactions to key events. This means that the code produced by the model should pass a given set of unit tests.

ChatGPT 246

ChatGPT Prompt Engineer Prompt Engineering Python 246

IBM Journey to AI blog

JULY 26, 2023

Pyhrr introduced the idea of starting the budgeting process from a “zero base,” meaning that every expense had to be justified from scratch. This enables informed decision-making, as leaders have a clearer understanding of the trade-offs involved and can make strategic choices based on reliable data.

Data Integration 141

Data Integration Artificial Intelligence Artificial Intelligence Machine Learning 141

O'Reilly Media

SEPTEMBER 12, 2023

Anyone who works in programming has seen the source code for some project evolve from something short, sweet, and clean to a seething mass of bits. Minimizing lines of code sometimes leads to simplicity, but just as often leads to complex incantations that pack multiple ideas onto the same line, often relying on undocumented side effects.

Software Development 120

Software Development Large Language Models Generative AI ChatGPT 120

Bugra Akyildiz

MARCH 30, 2024

In the article, they separate the Transformer broadly into two different parts; Communication(mostly multi-head attention) and Computation(feed forward) with the idea that communication will be done between tokens and computation will happen for a given token.

Explainability 52

Explainability Prompt Engineer Prompt Engineering Machine Learning 52

AWS Machine Learning Blog

MARCH 8, 2023

MPII is using a machine learning (ML) bid optimization engine to inform upstream decision-making processes in power asset management and trading. Solution overview Electricity markets enable trading power and energy to balance power supply and demand in the electric grid and to cover different electric grid reliability needs.

Machine Learning 71

Machine Learning Data Ingestion ML Data Science 71

Marktechpost

JUNE 27, 2023

Although DreamStudio has only been around for a short while, it has quickly become a favorite among creative types. Raw Shorts To assist organizations in making explainer films, animations, and promotional movies for the web and social media, Raw Shorts provides a text-to-video creator and a video editor driven by artificial intelligence.

AI Tools 80

AI Tools Convolutional Neural Networks Artificial Intelligence Artificial Intelligence 80

Robot Writers AI

JUNE 18, 2023

Never Get Caught Short on Schtick Again: TikTok Offers Free Video Scriptwriter: Riding the rising trend of ever-increasing AI specialization, TikTok has released a new tool that auto-generates scripts for its platform. During the past few years, the off-loading of translation to AI machines has completely disrupted the industry.

ChatGPT 52

ChatGPT Auto-complete Robotics Automation 52

Ofemwire

MARCH 1, 2024

If you’re tired of struggling to come up with ideas for your content, this post is for you. ” or “Generate a short story about a detective solving a murder mystery.” You might discover new insights, creative ideas, or simply enjoy engaging with the AI in various ways.

AI 111

AI AI Natural Language Processing Explainability 111

Viso.ai

JANUARY 16, 2024

And changing the basis for how copyrights protect AI inventions and trade secrets. In short, the court affirmed the ANN’s operations as technical contributions to the field. Traditionally, mathematical methods are not patentable as they are considered abstract ideas. These “skills” are integral to AI systems like ANNs.

Neural Network 52

Neural Network Computer Vision Categorization Algorithm 52

AWS Machine Learning Blog

MARCH 14, 2024

The skills needed to properly integrate, customize, and validate FMs within existing systems and data are in short supply. It involves the use of prompts, which are short pieces of text that guide the model to generate more accurate and relevant responses. The retrieved information provides useful context and ideas.

Generative AI 98

Generative AI Prompt Engineer Prompt Engineering AI 98

PyImageSearch

AUGUST 28, 2023

The Dataset The Problem Mismatch Between Training and Test Data Data Corruption Uncertainty Quantification Corruption-Specific Training Data Augmentation Trade-Off Between Accuracy, Robustness, and Uncertainty The Solution: AugMix How AugMix Works AugMix Results on ImageNet Why Is AugMix Important? All that said, are you: Short on time?

Computer Vision 90

Computer Vision Machine Learning Deep Learning Neural Network 90

Mlearning.ai

FEBRUARY 15, 2024

In short, RPA in banking includes solutions that aim to automate monotonous, high-volume, routine business procedures and enable banks to save time, expenses, and resources. Thus, RPA in banking automates jobs associated with issuing, managing, and closing letters of credit, which are popular trade finance tools.

Robotics 52

Robotics Automation Software Engineer Software Development 52

AWS Machine Learning Blog

SEPTEMBER 28, 2023

The delicate balance of oversupply and undersupply If manufacturers produce too few parts or finished goods, the resulting undersupply can cause them to make tough choices of rationing available resources among their trading partners or business units. As a result, purchase orders may have lower acceptance rates with fewer profits realized.

ML 88

ML Metadata Machine Learning Data Science 88

Cold Takes

JUNE 9, 2022

They find the idea of AI itself going to war with humans to be comical and wild. I'm going to try to make this idea feel more serious and real. Here are some of the most common objections I hear to the idea that AI could defeat all of us; if I get much demand I can elaborate on some or all of them more in the future.

AI 59

AI AI Robotics Software Engineer 59

deepsense.ai

SEPTEMBER 24, 2023

In short – it’s safer and faster to iterate. Of course, it also means that fixes or new features would need to be backported to each project, but it is a trade-off which suits best our daily work. However, we hope that the presented approach will be an inspiration to expand the idea of standardizing ML projects.

Machine Learning 77

Machine Learning Python ML Metadata 77

ML @ CMU

MAY 12, 2023

In short, this says that the (k)-th data silo may set its own ((varepsilon_k, delta_k)) example-level DP target for any learning algorithm with respect to its local dataset. As we discuss below, this alternate privacy granularity affects how we consider modeling federated data to improve privacy/utility trade-offs.

Explainability 52

Explainability Algorithm Neural Network ML 52

AI Impacts

DECEMBER 22, 2022

Is slowing down AI a good idea at all? Scott Alexander wrote a post a little while back raising reasons to dislike the idea, roughly: Do you want to lose an arms race? Reduce available compute for AI, e.g. via regulation of production and trade, seller choices, purchasing compute, trade strategy.

AI 130

AI AI AI Researcher AI Research 130

Mlearning.ai

JUNE 16, 2023

Top 17 Generative AI-based Programming Tools (For Developers) Why ChatGPT Won’t Replace Coders Just Yet Lack of critical thinking (think from goal perspective and even challenge requestor) and idea generation ChatGPT struggles to generate long bodies of text coherently. ChatGPT codes like an expert beginner.

Software Development 52

Software Development Generative AI ChatGPT Prompt Engineer 52

AWS Machine Learning Blog

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Generative AI 116

Generative AI LLM ML AI 116

Artificial Corner

JUNE 21, 2023

What we face is potentially nothing short of a paradigm shift in human history. Previously, the cocoon of culture was exclusively woven by human beings, aided by tools like printing presses, radios, and televisions that propagated existing cultural ideas. However, AI stands apart from its predecessors.

AI Tools 52

AI Tools Black Box AI Algorithm Artificial Intelligence 52

Hal Daumé III

APRIL 3, 2017

Short Personal History Back in 2005, John Langford, Daniel Marcu and I had a workshop paper at NIPS on relating structured prediction to reinforcement learning. That is, you enter a world where there's a trade-off between statistics and computation (though not in the usual sense) and it's not at all clear how to balance that.

Algorithm 52

Algorithm NLP 52

The MLOps Blog

DECEMBER 7, 2022

Those were the questions that the guys at CTF Capital —a trading fund— had. At that time, we received a message from a friend and colleague of ours working at a crypto trading fund: “ I managed to assemble an amazing data team, but we lack direction and focus ”.

ML 52

ML ETL Data Scientist Automation 52

AWS Machine Learning Blog

FEBRUARY 1, 2023

Evaluation dataset To evaluate both solutions, we use a sample dataset consisting of 200 short-form videos. It’s important to note that there will be a trade-off between cost and accuracy. Although these results are averages achieved during testing and by some of our customers, they should give you ideas to balance the use of each API.

ML 64

ML Natural Language Processing Machine Learning Computer Vision 64

AWS Machine Learning Blog

NOVEMBER 22, 2023

Building a production-ready solution in the cloud involves a series of trade-offs between resources, time, customer expectation, and business outcome. If you make too many calls to Amazon Textract in a short period of time, it throttles your calls and sends a ProvisionedThroughputExceededExceptionerror in the operation response.

IDP 76

IDP Automation Machine Learning ML 76

AWS Machine Learning Blog

MARCH 28, 2024

Despite facing skepticism and short-term headwinds, AWS continued to innovate, attract new customers, and migrate active customers, offering benefits such as agility, innovation, cost-efficiency, and security. Parent document retriever chain Let’s look at a more advanced RAG option with the help of ParentDocumentRetriever.

LLM 105

LLM Auto-complete Auto-classification Generative AI 105

Cold Takes

JANUARY 13, 2023

In this early stage, AI systems often have pretty narrow capabilities, such that the idea of them forming ambitious aims and trying to defeat humanity seems (and actually is) silly. just really hard to have any idea what that's going to be like. The short answer is that I don’t know. What are all the robots up to?

AI 59

AI AI Robotics AI Developer 59

Applied Data Science

OCTOBER 25, 2021

This path aims towards two, equally important objectives: getting the skills most desired in the foreseeable future (which is rather short in data science) and developing the abilities necessary to become independent and evolvable enough to adjust to changes that may come your way (with probability 99%).

Data Science 52

Data Science Data Scientist Deep Learning Machine Learning 52

Mlearning.ai

SEPTEMBER 4, 2023

Short-termism: AI budgets are increasing, but much of that spending is taken from other business areas. These dynamics create short-termism, resulting in companies making rash decisions focusing on immediate results to the detriment of long-term growth. Short-termism is technical debt. 27] Second, Gudibande et al.

Generative AI 52

Generative AI Large Language Models AI AI 52

Topbots

SEPTEMBER 11, 2023

When creating your data, you face a trade-off between quality and quantity. In short, the “augmented” experience guides users to the desired outcome via iteration and refinement. And finally, we have full automation — an intriguing idea for AI geeks, philosophers, and pundits, but often not the optimal choice for real-life products.

AI 59

AI AI UX Design Automation 59

AWS Machine Learning Blog

NOVEMBER 30, 2023

We are also making it easier for any customer to access highly sought-after GPU compute capacity for generative AI with Amazon EC2 Capacity Blocks for ML—the first and only consumption model in the industry that lets customers reserve GPUs for future use (up to 500 deployed in EC2 UltraClusters) for short duration ML workloads.

Generative AI 121

Generative AI AI AI ML 121

Explosion

DECEMBER 17, 2013

If you’re confused about the idea of extracting features and scoring them with a linear model, you should review that post. We’re going to trade away accuracy in favour of efficiency and simplicity. I find the dynamic oracle idea much more conceptually clear. I can imagine having no idea what the program might even do.

Python 45

Python Algorithm NLP Computational Linguistics 45