Becoming Human

FEBRUARY 1, 2023

In addition to my capabilities as a language model, I am also designed to be transparent and explain my thought process to users. This means that when I provide an answer or generate text, I can also provide an explanation of the algorithms and techniques that I used to arrive at that answer or text. see you in the next article!

Large Language Models 90

Large Language Models OpenAI Machine Learning ChatGPT 90

Becoming Human

APRIL 19, 2024

Transparency and Explainability Transparency in AI systems is crucial for building trust among users and stakeholders. This lack of explainability raises concerns about accountability and the potential for unintended consequences. AI consultants must prioritize transparency by adopting models and techniques for interpretability.

AI 102

AI AI Responsible AI Artificial Intelligence 102

Becoming Human

MAY 11, 2023

Model Interpretability and Explainability: Model interpretability and explainability are techniques for understanding how machine learning models make predictions. Improved Explainability: By using techniques like SHAP and LIME, MLOps projects can help to provide explanations for how machine learning models make predictions.

Machine Learning 78

Machine Learning DevOps Software Development Automation 78

Becoming Human

JANUARY 23, 2023

Final Words Many of my friends ask me the question about “ Data Science ”, so I thought that through this article I will be able to explain ‘Data Science’ to all those people who do not know anything about Data Science.

Data Science 105

Data Science Big Data Data Mining Computer Vision 105

Becoming Human

AUGUST 15, 2023

In this blog, we will break down the concept of logistic regression and explain it as simply as possible. Demystifying Logistic Regression: A Simple Guide was originally published in Becoming Human: Artificial Intelligence Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story.

Machine Learning 52

Machine Learning Algorithm Data Science Computer Vision 52

Bitext

AUGUST 24, 2021

Below in this post, we will better explain the process in 3 Steps. You can check my team’s publications at Chatbots magazine over here: [link] [link] [link] The post How to Automate the Generation of Training Data for Conversational Bots appeared first on Bitext. We help AI understand humans. chatbots that work.

Automation 52

Automation Chatbots NLP Machine Learning 52

Becoming Human

APRIL 19, 2024

e) Input: Explain the concept of a bubble sort algorithm to a non-technical audience. (c) Input: Calculate the total surface area of a cube with a side length of 5 cm. Output: Total surface area of the cube: 150 cm2 (d) Input: Give two examples of a liquid. Output: Two examples of liquids are water and oil. (e)

LLM 111

LLM Large Language Models Algorithm Natural Language Processing 111

Becoming Human

MARCH 17, 2023

left) Aim to explain what the AI can do. Designing great AI products — Personality and emotion was originally published in Becoming Human: Artificial Intelligence Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story. Healthcare chatbot: Clearly communicate boundaries.

UX Design 141

UX Design AI AI Artificial Intelligence 141

OpenAI

JULY 14, 2022

“It’s called Picasso chocolate mousse, and it’s a tribute to my parents,” she explained. In her post unveiling the process, Karen compared working with DALL·E to a musician playing an instrument. “DALL·E elevates it to another level — it is just phenomenal.

Explainability 53

Explainability 53

Becoming Human

MAY 12, 2023

In order to develop training data for AI and machine learning, there are several types of image annotation as explained below: Bounding Box Annotation As a type of image annotation technique, bounding box annotation is used to outline the boundaries of objects. There are multiple ways to annotate images, each using a different approach.

Machine Learning 81

Machine Learning Computer Vision Automation Artificial Intelligence 81

Dlabs.ai

MARCH 17, 2021

Beyond books, Bernard writes a regular column for Forbes magazine. He also runs his own YouTube channel , where he explains basic concepts of AI, shows how to use them, and talks through technological trends for the coming years. His latest article is The Biggest Wearable Technology Trends In 2021.

Deep Learning 92

Deep Learning Artificial Intelligence Artificial Intelligence Neural Network 92

Becoming Human

MARCH 16, 2023

data.edge_attr: Edge feature matrix with shape [num_edges, num_edge_features] As explained before, edges can also have features, which are stored the same way as for the nodes — resulting in a matrix. This means it contains 2-tuples of elements that are connected. This is an alternative form to the already mentioned adjacency matrix.

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Neural Network Deep Learning Machine Learning Artificial Intelligence 142

Becoming Human

MARCH 16, 2023

Referred to as black boxes, such AI models might produce the most accurate predictions possible, but even engineers can’t explain the reasoning behind them. To address this challenge, there is a growing need for the development of explainable, trustworthy AI. Originally published at [link] on January 27, 2023.

Neural Network 139

Neural Network Deep Learning AI AI 139

DataRobot Blog

APRIL 4, 2022

Historically, this analysis was applied to traditional offline media channels: TV, radio, print (magazines, newspaper), out-of-home (billboards and posters), etc. Media data (usually weekly): media costs, media ratings generated (TVRs, magazine copies, digital impressions, likes, shares, etc.), Breakthrough #2: Shapley Value.

Machine Learning 52

Machine Learning Automation ML Algorithm 52

Flipboard

SEPTEMBER 7, 2023

You are not a parrot,” proclaimed the headline of a widely read March profile of Emily Bender in New York magazine. The scientific method has not figured out how to explain consciousness, as O’Gieblyn points out. I used to find the idea of sentient AI risible, but now I’m not so sure.

AI 181

AI AI Computational Linguistics Chatbots 181

Heartbeat

JUNE 22, 2023

Additional resources: “ Chatbots Magazine ” — A digital newspaper with articles, news, and industry insights on anything related to chatbots and AI. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

NLP 59

NLP Chatbots Natural Language Processing Machine Learning 59

Applied Data Science

JUNE 1, 2021

We dig into a real-world dataset to search for stories worth telling and explain how common practices in data visualisation sometimes fail to convey the right message. Tables, pie charts and exponential curves are being featured in our magazines and social media front pages, spurred on by the current demand for real-time data and analysis.

Data Science 52

Data Science Explainability Categorization Business Intelligence 52

AWS Machine Learning Blog

SEPTEMBER 6, 2023

In 2004, Rolling Stone magazine listed it as number 19 of the 50 Moments That Changed the History of Rock and Roll. In 2004, Rolling Stone magazine listed it as number 19 of the 50 Moments That Changed the History of Rock and Roll. In 2017, the festival site became listed on the National Register of Historic Places.

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Auto-complete Machine Learning ML Python 97

Explosion

DECEMBER 28, 2019

Nov 1: In November, Ines sat down with German magazine Kulturnews for an interview. ? In this episode he explained how to transition a rule-based prototype towards an NER model to achieve faster results and a baseline for machine learning experiments. ? There’s also a bit of spaCy history in there as well.

NLP 52

NLP BERT Machine Learning Python 52

Applied Data Science

JANUARY 4, 2022

Reinforcement learning: rethinking past practices Muzero , Deepmind’s program that mastered multiple board games without anyone explaining the rules to it, drew the curtains of last year’s reinforcement learning scene. Does the success of Transformers lie in their attention mechanism or in the attention they are getting by the AI community?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

Probably Approximately a Scientific Blog

AUGUST 28, 2016

The rules of thumb for crowdsourcability are: The task is easy to explain, and you as a requester indeed explain it simply. Are you sure you explained the task well? Wired magazine 14.6 In addition, you should always give workers the benefit of the doubt; maybe you didn't explain the task well enough. In ACL 2011.

NLP 52

NLP Explainability Natural Language Processing 52

Heartbeat

NOVEMBER 8, 2023

Topic: {topic1} and {topic2} Rap: """ prompt_template = PromptTemplate(input_variables=["topic1", "topic2"], template=template) rap_chain = LLMChain(llm=llm, prompt=prompt_template, output_key="rap") template = """ You are a rap critic from the Rolling Stone magazine and Metacritic.

LLM 52

LLM OpenAI Data Scientist Prompt Engineer 52

Heartbeat

DECEMBER 28, 2023

Computer Magazine, 50 (1), 30–39. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. References: Bonawitz, K., Towards Federated Learning at Scale: System Design. Satyanarayanan, M.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52