Data Science, Machine Learning, AI & IOT

31 May 2026 05:40

🔬 *AI Research Digest*
📅 Week of May 24–May 30, 2026
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**1. 🤖 OpenClaw-RL — Train Any RL Agent Simply by Talking**
**Authors:** Gen-Verse (open-source org) | **arXiv:** 2603.10165
**Bottleneck solved:** Eliminates the need for manually defined reward functions in RL fine-tuning by intercepting live multi-turn conversations and using next-state signals as universal training feedback. Developers running self-hosted models via OpenClaw can now continuously fine-tune a personalized agent in the background — across terminal, GUI, SWE, and tool-call settings — without interrupting usage or writing a single reward function.
🔗 [OpenClaw-RL: Train Any Agent Simply by Talking](https://arxiv.org/abs/2603.10165)

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**2. 💰 Beyond the Context Window — Memory vs. Long-Context LLMs for Agents**
**Authors:** Independent researchers | **arXiv:** 2603.04814
**Bottleneck solved:** Quantifies the cost-performance tradeoff between stuffing full conversation history into long-context LLMs versus maintaining a structured fact-based memory store — directly addressing the spiraling inference cost of persistent agents. Data and ML teams building production agentic systems can use this analysis to decide when a RAG-style memory layer is cheaper and more accurate than paying per-token for a 1M-context window.
🔗 [Beyond the Context Window — arXiv](https://arxiv.org/abs/2603.04814)

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**3. ⚡ The 1/W Law — Context-Length Routing Beats GPU Upgrades for LLM Efficiency**
**Authors:** Infrastructure/systems researchers | **arXiv:** 2603.17280
**Bottleneck solved:** Shows that routing short and long context requests to separate GPU pools (two-pool topology) delivers ~2.5× better tokens-per-watt than a homogeneous H100 fleet — more gain than upgrading to B200s (~1.7×) — meaning smarter routing architecture is a bigger energy and cost lever than hardware. For teams running LLM inference at scale, this paper provides an analytical blueprint to cut infrastructure costs without waiting for the next chip generation.
🔗 [The 1/W Law — arXiv](https://arxiv.org/abs/2603.17280)

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💡 *Stay curious. Read the papers.*

For More: @kdnuggets @datasciencechats

Data Science, Machine Learning, AI & IOT

25 April 2026 17:16

Brief Summary:
OpenAI officially released GPT-5.5 on April 23, 2026, transitioning from a chat assistant to a fully "agentic" system.

Here are the 5 key updates:
Agentic Workflows: Autonomously handles multi-step tasks across browsers and software with self-correction.
SOTA Reasoning: Achieves 82.7% on Terminal-Bench 2.0, significantly outperforming Claude 4.7 and Gemini 3.1.
1M Token Context: Vastly improved reliability for processing massive codebases and long-form legal archives.
Thinking & Pro Tiers: New specialized versions optimized for deep reasoning and high-stakes enterprise work.
Enhanced Efficiency: Delivers smarter performance at GPT-5.4 speeds while consuming fewer tokens per task.

@kdnuggets @datasciencechats
https://openai.com/index/introducing-gpt-5-5/

Data Science, Machine Learning, AI & IOT

27 December 2025 12:13

Google is expanding the Gemini 3 model family with the release of Gemini 3 Flash, which offers frontier intelligence built for speed at a fraction of the cost

@kdnuggets @datasciencechats
Read More: https://blog.google/products/gemini/gemini-3-flash

Data Science, Machine Learning, AI & IOT

27 August 2025 10:19

Here are latest Gemini image editing features:
🎨 Maintaining Likeness: Photos of people and pets consistently look like themselves even when you change their hairstyle or outfit.

📍 Change Scenarios: Place a person or pet in new locations or give them a new look while keeping their original appearance.

🔄 Blend Photos: Combine multiple photos to create a new scene—like you and your dog on a basketball court!

✏️ Multi-turn Editing: Continuously edit an image. Start with an empty room, paint the walls, then add furniture.

✨ Mix Designs: Apply the style or texture from one image to an object in another—like putting a butterfly's wing pattern on a dress.

Read More: https://blog.google/intl/en-mena/product-updates/explore-get-answers/nano-banana-image-editing-in-gemini-just-got-a-major-upgrade/
@kdnuggets @datasciencechats

Data Science, Machine Learning, AI & IOT

01 August 2025 10:22

https://developers.googleblog.com/en/introducing-opal/
@kdnuggets @datasciencechats

Data Science, Machine Learning, AI & IOT

06 January 2025 18:40

Building LLMs - Stanford Course
#ai #generativeai #llm

https://www.youtube.com/watch?v=9vM4p9NN0Ts

@kdnuggets @datasciencechats

00:10 Building Large Language Models overview
02:21 Focus on data evaluation and systems in industry over architecture
06:25 Auto regressive language models predict the next word in a sentence.
08:26 Tokenizing text is crucial for language models
12:38 Training a large language model involves using a large corpus of text.
14:49 Tokenization process considerations
18:40 Tokenization improvement in GPT 4 for code understanding
20:31 Perplexity measures model hesitation between tokens
24:18 Comparing outputs and model prompting
26:15 Evaluation of language models can yield different results
30:15 Challenges in training large language models
32:06 Challenges in building large language models
35:57 Collecting real-world data is crucial for large language models
37:53 Challenges in building large language models
41:38 Scaling laws predict performance improvement with more data and larger models
43:33 Relationship between data, parameters, and compute
47:21 Importance of scaling laws in model performance
49:12 Quality of data matters more than architecture and losses in scaling laws
52:54 Inference for large language models is very expensive
54:54 Training large language models is costly
59:12 Post training aligns language models for AI assistant use
1:01:05 Supervised fine-tuning for large language models
1:04:50 Leveraging large language models for data generation and synthesis
1:06:49 Balancing data generation and human input for effective learning
1:10:23 Limitations of human abilities in generating large language models
1:12:12 Training language models to maximize human preference instead of cloning human behaviors.
1:16:06 Training reward model using softmax logits for human preferences.
1:18:02 Modeling optimization and challenges in large language models (LLMs)
1:21:49 Reinforcement learning models and potential benefits
1:23:44 Challenges with using humans for data annotation
1:27:21 LLMs are cost-effective and have better agreement with humans than humans themselves
1:29:12 Perplexity is not calibrated for large language models
1:33:00 Variance in performance of GPT-4 based on prompt specificity
1:34:51 Pre-training data plays a vital role in model initialization
1:38:32 Utilize GPUs efficiently with matrix multiplication
1:40:21 Utilizing 16 bits for faster training in deep learning
1:44:08 Building Large Language Models from scratch

Data Science, Machine Learning, AI & IOT

26 December 2024 10:27

https://blog.google/products/google-cloud/ai-trends-business-2025/
@kdnuggets @datasciencechats
#AINews #Google

Data Science, Machine Learning, AI & IOT

18 November 2024 14:29

Differences between RAG, Agents and Agentic RAG
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Subscribe to WhatsApp channel for the post
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Data Science, Machine Learning, AI & IOT

14 November 2024 16:05

Who all are participating here? If you havent there is still time to participate and get trained for free. Highly recommend if you want to learn genai in short span of time. Are you doing? Comment below.

Data Science, Machine Learning, AI & IOT

06 November 2024 14:34

The AI for Impact Hackathon, presented by Google Cloud and powered by Hack2skill, is a unique opportunity to leverage the transformative power of AI to address pressing social challenges across the APAC region.
You can participate in the hackathon for free with below link.

Deadline: 17th Nov

Register : https://bit.ly/4hEcMQI

Data Science, Machine Learning, AI & IOT

13 October 2024 16:15

AI Python for beginners Free course for limited period by Andrew Ng
#ai #python
Join @coursenuggets for more
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https://www.deeplearning.ai/short-courses/ai-python-for-beginners/

Data Science, Machine Learning, AI & IOT

30 July 2024 08:19

Did you know we have a linkedin community where useful datascience related posts are shared frequently?

If you havent joined yet please join
https://www.linkedin.com/groups/13661437/

Data Science, Machine Learning, AI & IOT

04 April 2024 08:11

https://www.youtube.com/watch?v=wjZofJX0v4M
@kdnuggets @datasciencechats

Data Science, Machine Learning, AI & IOT

13 February 2024 07:00

Marketing strategy and AI-Free Webinar from Google

In this session you will learn:

How is AI changing the marketing landscape and what are the opportunities for marketers

AI-powered marketing tools you can try

Supercharging your digital marketing strategy

https://bit.ly/googleaimarketing

#ai #freecourse #marketing
@kdnuggets @datasciencechats @coursenuggets

Data Science, Machine Learning, AI & IOT

07 January 2024 15:25

500 AI Machine Learning Projects list with code
@coursenuggets @kdnuggets @datasciencechats
#github #projects
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

Data Science, Machine Learning, AI & IOT

30 May 2026 18:48

🤖 AI & Data Science Weekly Digest
Week of May 26–30, 2026

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1. 🔍 Google Gemini 3.5 Flash Goes Global at Google I/O
Google launched Gemini 3.5 Flash as the new default model for AI Search Mode — flagship-level intelligence at fast-inference speeds, now live in 200 countries across 98 languages, free with no subscription.

2. 🧠 Google Gemma 4 — Open Model, Closed-Model Performance
Gemma 4's 26B Mixture-of-Experts model activates only 3.8B parameters at inference time, outperforming models 20x its size on reasoning and agentic benchmarks.

3. 🗣️ xAI Drops Grok 4.3 with Voice Cloning & Agentic Modes
xAI released Grok 4.3 at aggressively low pricing, featuring a voice cloning suite and a dedicated Imagine creative agent mode for multimodal projects.

4. 💳 Ant Group Launches Agentic Commerce Trust Protocol
Alipay's parent company unveiled a full-stack AI payments infrastructure — including an AI Wallet and a Trust Protocol governing transactions executed autonomously by AI agents.

5. ⚠️ First Large-Scale Study Exposes Bias in Hiring Algorithms
Researchers published the first empirical large-scale study of hiring algorithms in the wild, uncovering systematic and concerning candidate rejection patterns across production systems.

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💡 Stay ahead. Stay curious.

For More: @kdnuggets @datasciencechats

Data Science, Machine Learning, AI & IOT

07 January 2026 07:22

🚀 Popular YouTube Channels to Learn AI & ML 🤖📚
Whether you’re a beginner or going deep into research, these channels are gold for AI/ML learning 👇
1️⃣ Andrej Karpathy – Learn deep learning straight from a legend
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7️⃣ CampusX – Structured data science & ML learning paths
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8️⃣ 3Blue1Brown – Math intuition behind ML like never before
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Follow @coursenuggets for more.
Our other channels @kdnuggets @datasciencechats

💡 Save this post, pick one channel, and start today. Consistency > everything.
#AI #MachineLearning #DeepLearning #DataScience #LearningResources

Data Science, Machine Learning, AI & IOT

10 November 2025 13:45

5-Day AI Agents Intensive Course with Google

⏰ Nov 10 onwards

#agents #freecourse

https://www.kaggle.com/learn-guide/5-day-agents

Data Science, Machine Learning, AI & IOT

08 August 2025 04:04

🚀 Introducing GPT-5: Launched 32 months after ChatGPT, GPT-5 is hailed as a "major upgrade" and a "significant step along the path to AGI." It's described as conversing with a "PhD level expert" across any field, a substantial leap from previous models.

📈 Unprecedented Growth & Impact: ChatGPT now boasts 700 million weekly users, relying on it for work, learning, advice, and creation. GPT-5 aims to be intuitive, useful, smart, and fast.

💡 Enhanced Reasoning and Capabilities: GPT-5 incorporates a "reasoning paradigm" allowing it to "pause to think" for more intelligent, precise answers, eliminating the trade-off between speed and thoughtfulness. It can write entire computer programs, plan events, and explain complex health information.

📊 Superior Performance Metrics:

Coding: Sets new highs on SWEBench (real software engineering tasks) and Aider Polyglot (multilingual programming).

Reasoning: Outperforms previous models and most human experts on MMMU (multimodal reasoning) and AIME (mathematical reasoning).

Reliability: Significantly reduces hallucinations, making it the "most reliable, most factual model ever," and performs exceptionally well on health-related questions.


🌐 Broad Accessibility & Tiered Access: GPT-5 is rolling out immediately, available to free, Plus, Pro, NT, Enterprise, and EDU users. Free users get GPT-5 initially before transitioning to Mini, while paid tiers receive higher or unlimited usage with extended thinking capabilities.

🛠️ Powerful Integrations & Personalization: All existing ChatGPT tools (search, file/image upload, data analysis, image generation, memory, custom instructions) work seamlessly with GPT-5. New features include customizable chat colors, experimental "personalities" (supportive, sarcastic), and crucial integrations with Gmail and Google Calendar for enhanced scheduling and personal assistance.

🛡️ Advanced Safety Features: OpenAI has overhauled safety training with "safe completion," which aims to maximize helpfulness within safety constraints, offering partial answers or alternatives instead of outright refusals. GPT-5 is also significantly less deceptive.

🧪 Recursive Model Improvement: New training techniques involve using AI itself to generate high-quality synthetic data and curriculum, creating a "recursive improvement loop" where older models enhance the training data for newer generations.

⚕️ Transformative Healthcare Application: Highlighted as a top use case, GPT-5 is the "best model ever for health," scoring highly on the HelpBench evaluation. A personal testimony demonstrated its ability to translate complex medical reports into plain language, aid in critical decision-making, and empower patients.

💻 Revolutionizing Coding: GPT-5 is proclaimed the "best coding model in the world," excelling at "Agentic coding tasks" where it can autonomously tackle complex problems, build entire web apps (like a French learning app or a finance dashboard), and even fix its own code. It also exhibits a strong sense of aesthetics in front-end development.

🤝 Developer Focus & API Enhancements: Available in API today (GPT-5, Mini, Nano), with tiered pricing. New API features include a "reasoning effort" parameter for latency control, "Custom Tools" for flexible tool calls, "Tool Call Preambles" for explanations, and a "Verbosity programmer" for output control. The context window has doubled to 400K tokens.

🏢 Enterprise & Government Adoption: Over 5 million businesses already use OpenAI technology, with GPT-5 expected to be a "step function" in enabling industries like life sciences (Amgen), finance (BBVA), and healthcare (Oscar Health). Two million US federal employees will also gain access to GPT-5 and ChatGPT.

@kdnuggets @datasciencechats

Data Science, Machine Learning, AI & IOT

16 April 2025 11:34

https://cloud.google.com/blog/products/application-development/firebase-studio-lets-you-build-full-stack-ai-apps-with-gemini
#ai

@kdnuggets @datasciencechats

Data Science, Machine Learning, AI & IOT

27 December 2024 08:55

Did you know we have some unique learning posts on our WhatsApp channel that doesnt get shared here? Follow our whatsapp channel to keep up with those updates. (Your contact numbers stay anonymous on whatsapp channels)
https://bit.ly/dsnwhatsapp

Data Science, Machine Learning, AI & IOT

19 December 2024 17:40

Google announced Gemini 2.0, a more advanced AI model capable of native image and audio output and tool use. This new model powers several projects, including Project Astra (a universal AI assistant) and Project Mariner (browser-based task completion). Gemini 2.0 Flash, an experimental version, is available to developers, with wider release planned. Google emphasizes responsible AI development, prioritizing safety and security in its applications. The announcement highlights Gemini 2.0's integration into Google products and its potential to revolutionize user experience
https://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/
#gemini
@kdnuggets @datasciencechats

Data Science, Machine Learning, AI & IOT

14 November 2024 17:02

Those who missed to register the course. You can find all the content of course:
@kdnuggets @coursenuggets
https://www.youtube.com/playlist?list=PLqFaTIg4myu-b1PlxitQdY0UYIbys-2es

Data Science, Machine Learning, AI & IOT

09 November 2024 05:32

Our channel is now on whatsapp too.

Feel free to join. We will be sharing some exclusive content posts on whatsapp and linkedin. So dont miss out.
Whatsapp:🔗
https://whatsapp.com/channel/0029Vaw8loEIXnlogBO5ma1H
Linkedin:🔗
https://www.linkedin.com/groups/13622969

Data Science, Machine Learning, AI & IOT

25 October 2024 04:41

Join the FREE 5-Day 🤖 Gen AI Intensive Course with Google

Join @coursenuggets for more
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https://bit.ly/genaifreecourse

Data Science, Machine Learning, AI & IOT

14 August 2024 08:42

📣Hurry Up 50% sitewide special discount lasting only few hours on one of the leading online learning platforms 📣

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Data Science, Machine Learning, AI & IOT

15 June 2024 16:55

If you are a fresher important to realise how important data structures and algorithms are in your preparation to get into software journey. Here is a well documented roadmap that you could use with any programming language. If you are looking to expand into datascience then via python 🐍
#beginner #datastructure #python #fresher

Feel free to discuss on practising this in our exclusive python chats channel
https://t.me/joinchat/BNEH6lWLXAYvblVPWbb_ag

@kdnuggets @datasciencechats

Data Science, Machine Learning, AI & IOT

29 February 2024 06:20

https://www.kdnuggets.com/collection-of-free-courses-to-learn-data-science-data-engineering-machine-learning-mlops-and-llmops
#freecourses
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Data Science, Machine Learning, AI & IOT

07 January 2024 15:30

Curated list of Artificial Intelligence courses, books 📚,video lectures and papers 📝

https://github.com/owainlewis/awesome-artificial-intelligence

@coursenuggets @kdnuggets @datasciencenuggets
#courses #ai

Data Science, Machine Learning, AI & IOT

08 December 2023 04:29

https://blog.google/technology/ai/google-gemini-ai/amp/
#artificialintelligence #gemini
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