IBM Journey to AI blog

NOVEMBER 30, 2023

By doing so, you model your energy supply to help navigate and accelerate your transition to renewable energy. Subscribe to receive sustainability topics in your inbox The post 6 climate change adaptation strategies every organization needs today appeared first on IBM Blog.

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Data Science Dojo

SEPTEMBER 1, 2023

It can provide creative suggestions and help users explore different angles and approaches to various topics or projects. Example prompt: “Write a persuasive article on the benefits of renewable energy.” ” “Saves energy.” This is the initial prompt, requesting an article on a specific topic.

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Women in Big Data

SEPTEMBER 29, 2023

The speed mentoring format, with short, focused sessions, allowed for a diverse range of topics to be covered. It was heartwarming to see the mentees leave each session with newfound knowledge and a renewed sense of purpose. The energy in the room was infectious, and it was clear that every participant felt valued and heard.

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Data Science Dojo

MARCH 18, 2024

Explore the power of the RAG LLM duo for enhanced performance Exploring the RAG pipeline To understand RAG further, consider when you interact with an AI model by asking a question like “What’s the latest breakthrough in renewable energy?” ” This is when the RAG system springs into action.

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Data Science Dojo

AUGUST 8, 2023

Progress to advanced topics like file handling, modules, and packages. Example : “What are the advantages and disadvantages of using renewable energy sources?” Master Python Python is the primary language for NLP and AI tasks. Additionally, consider providing examples to support your points (Socratic prompt).”

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ODSC - Open Data Science

JULY 25, 2023

While questions about these topics complete my three-part series with ChatGPT about data centers, keep in mind that recommendations for how to use ChatGPT and other large language model (LLM)-based chatbots continue to evolve. Energy consumption: Data centers require large amounts of electricity to power and cool the equipment.

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IBM Journey to AI blog

FEBRUARY 2, 2024

A 2023 report found that global investment in green or low-carbon energy sources exceeded USD $1 trillion, 1 while advanced data collection tools and artificial intelligence (AI) are helping to better monitor emissions and inform sustainability strategy. Today, sustainability efforts are being shaped by new urgency and new technology.

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Data Science Blog

FEBRUARY 23, 2023

If architectures of neural networks and supervised learning are all you know about deep learning, you will be overwhelmed by complications of topics studied these days, for example generative models , making more compact neural net models by for example knowledge distillation , and explainable AI (XAI).

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Heartbeat

MARCH 8, 2023

R is a popular open-source programming language used for statistical computation and data analysis, as well as for text classification tasks such as basic spam detection, sentiment analysis, and topic labeling. Text classification is heavily used in a variety of applications, including spam detection, sentiment analysis, and topic labeling.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Maximize resource utilization and use managed services – Minimize idle resources, processing, and storage to reduce the total energy required to run your IDP workload. To reduce your carbon footprint, select a Region where, in 2022, the electricity consumed was attributable to 100% renewable energy.

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IBM Journey to AI blog

JANUARY 16, 2024

As carbon emissions reporting becomes common worldwide, IBM is committed to assisting its clients in making informed decisions that can help address their energy demands and associated carbon impact while reducing costs. It helps identify energy or carbon hotspots to develop an optimization roadmap.

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AssemblyAI

OCTOBER 27, 2023

  Leading companies like Spotify know this and leverage Speech-to-Text AI and Audio Intelligence models to gain transcription accuracy of over 90%, summarize speech, detect sensitive content, identify spoken topics, and analyze sentiment. Sentiment analysis helps you understand the context of spoken topics and phrases.

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Mlearning.ai

JULY 23, 2023

This energy majorly comes through non-renewable sources. Source: [link] While AI offers numerous advantages to society, the substantial energy required to sustain AI computing comes with significant environmental consequences. These apps run on servers in a datacenter or served from an enterprise network.

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Chatbots Life

MAY 13, 2023

3 AI Certifications in 3 Days Social Media Marketing Prompts Give you ideas for memes on any topic Can you give me some meme ideas for [dogs]? Give you an idea for a post that can drive engagement on any topic I want to create a post about climate change that can engage my followers. Can you help me with some ideas?

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IBM Journey to AI blog

FEBRUARY 15, 2024

From evolving regulations to mounting public backlash, there’s rarely a lull in the conversation when it comes to ESG-related topics like climate change , diversity, equity and inclusion (DEI) and corporate governance, to name a few. And yet, despite its growing prevalence, it can be hard to keep up with a landscape constantly in flux.

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Mlearning.ai

FEBRUARY 15, 2023

The primary focus for our data is limited to columns: mi_quality, topic, utterance_text, interlocutor, main_therapist_behaviour and client_talk_type. Smart Grid and Renewable Energy , 07 (12), 293–301. The code can be found here: [link]. We also need to process the utterance_text column in order to reduce text dimensions.

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DataRobot Blog

APRIL 21, 2022

To illustrate the energy needed in deep learning, let’s make a comparison. Get your power from a renewable source. Needless to say, anything is green if it is powered by something renewable. Schwarz et al have a comprehensive discussion on which of these metrics are the best, and I recommend their article on this topic.

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IBM Journey to AI blog

NOVEMBER 16, 2023

Through these foundational courses, learners will explore topics like ecology, biodiversity and social impact to help them develop a comprehensive understanding of sustainability. In this program, diverse cross-sector experts in topics such as sustainable agriculture and renewable energy come together from both inside and outside IBM.

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