A naukri.com initiative
Data Science News
VentureBeat
3h
163
Image Credit: VentureBeat
Elon Musk just released an AI that’s smarter than ChatGPT — here’s why that matters
- Elon Musk's AI startup xAI has announced the release of Grok 3, its latest AI model that claims to outperform leading competitors in technical benchmarks.
- Grok 3 surpassed OpenAI's GPT-4o, Google's Gemini, and DeepSeek's V3 model in blind user testing, as well as achieving superior scores in mathematics, scientific reasoning, and coding tasks.
- The development of Grok 3 required significant computational resources, with xAI doubling its GPU cluster to 200,000 Nvidia chips for training.
- This release intensifies competition in the AI industry and highlights the ongoing tension between Musk and his former colleagues at OpenAI.
Read Full Article
9 Likes
Towards Data Science
5h
51
Image Credit: Towards Data Science
How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and Inference
- LLMs go through pre-training and post-training phases to learn how language works.
- Pre-training involves gathering diverse datasets like Common Crawl and tokenization.
- Tokenization converts text into numerical tokens, essential for neural network processing.
- Neural networks predict the next token based on context, adjusting parameters through backpropagation.
- Post-training fine-tunes LLMs on specialized datasets to improve performance.
- Inference evaluates model learning by predicting next tokens based on training.
- Hallucinations occur when LLMs predict statistically likely but incorrect information.
- Improving factual accuracy requires training models to recognize knowledge gaps.
- Self-interrogation and fine-tuning help LLMs handle uncertainties in responses.
- LLMs can access external search tools to extend knowledge beyond training data.
Read Full Article
3 Likes
Datarobot
5h
221
Image Credit: Datarobot
How to use DeepSeek-R1 for enterprise-ready AI
- DeepSeek-R1 is the first open-source reasoning model making waves in the AI space, offering structured, logic-driven outputs and efficiency in text generation.
- Partnering with DataRobot can facilitate the development and deployment of DeepSeek-R1 for enterprise solutions, streamlining complexities.
- DeepSeek-R1's unique reasoning capabilities allow for presenting diverse options in agent-based systems, enhancing user experiences and responsiveness.
- When evaluated against GPT-4o mini, DeepSeek-R1 showed higher accuracy but also higher cost and slower response times, which may impact its efficiency.
- Integration with DataRobot allows for hosting DeepSeek-R1 using NVIDIA GPUs or serverless predictions, enabling seamless workflow integration.
- A comparison of DeepSeek-R1 and GPT-4o mini in real-world AI workflows highlighted differences in response time, accuracy, and cost implications.
- DeepSeek-R1's value lies in its reasoning through complex scenarios, offering proactive insights and multiple outcome possibilities for agent-driven systems.
- In testing using the Google BoolQ dataset, DeepSeek-R1's performance in reasoning evaluation differed from simpler response models like GPT-4o mini.
- Hosting DeepSeek-R1 on DataRobot can be a straightforward process, enabling access to various variants and models for enhanced AI applications.
- The article emphasizes the importance of evaluating AI models in end-to-end workflows to assess their real-world applicability beyond raw performance metrics.
- By understanding DeepSeek-R1's potential and capabilities, enterprises can leverage advanced AI tools to deliver meaningful outcomes and embrace enterprise-ready AI solutions.
Read Full Article
13 Likes
Analyticsindiamag
8h
226
Image Credit: Analyticsindiamag
Netflix Would Sink Without Iceberg
- Netflix heavily relies on Apache Iceberg for its data management in data lakes.
- Sreyashi Das, a data engineer at Netflix Studios, discussed their usage of Iceberg and its importance in various data products.
- Das highlighted the role of Iceberg in monitoring production data for crucial resource allocation decisions.
- Iceberg is compatible with data processing frameworks like Apache Spark and enables large-scale data analysis.
- It simplifies data management with features like hidden partitioning and supports machine learning workflows.
- Challenges in the initial Data Mesh implementation led to a proof-of-concept project using Spark Streaming.
- Das's expertise in data warehousing and analytical solutions contributes to cost savings and efficient resource allocation.
- She emphasized the importance of good data quality and shared Netflix's data validation pattern, Back WAP.
- Das advises aspiring data engineers to master Python, SQL, data warehousing, and understand the business impact of their work.
- Collaboration and meeting business impact are crucial aspects in data engineering, according to Das.
Read Full Article
13 Likes
Medium
8h
287
Image Credit: Medium
9 Game-Changing Python Tips Every Developer Should Know
- When writing Python code, it is important to prioritize readability.
- Using descriptive variable and function names can make the code easier to understand and maintain.
- Following best practices in Python can lead to cleaner and more efficient code.
- These tips can be helpful for both beginner and experienced Python developers.
Read Full Article
17 Likes
Analyticsindiamag
10h
128
Image Credit: Analyticsindiamag
Altman Asks if OpenAI Should Release an Open Source o3-mini or Phone-Sized Model
- OpenAI CEO Sam Altman is seeking user input on whether the company should release an o3-mini-level model or a phone-sized open-source AI model.
- Altman recently expressed the company's plan to release open-source models in the future, citing the need for more control over technology and the expectation for AI to be integrated into all aspects of society.
- There is a growing industry push for open-source AI, and OpenAI is considering ways to open-source parts of its work.
- Altman also discussed the roadmap for upcoming models, including GPT-4.5 (internally referred to as Orion) and GPT-5, which will incorporate various OpenAI technologies.
Read Full Article
7 Likes
Analyticsindiamag
10h
0
Image Credit: Analyticsindiamag
Gurugram-Based Spyne Secures $16 Million in Series A Funding to Expand U.S. Operations
- Gurugram-based startup Spyne has raised $16 million in Series A funding to expand its operations in the U.S.
- The funding round was led by Vertex Ventures, with participation from existing investors.
- Spyne plans to develop a GenAI-powered automotive retail solution and aims for significant revenue growth.
- The funding will also enable the company to strengthen its presence in EMEA and APAC regions.
Read Full Article
Like
Analyticsindiamag
10h
153
Image Credit: Analyticsindiamag
Throw Enough GPUs at DeepSeek and You Will Get Grok 3
- Elon Musk’s xAI launched its latest LLM Grok 3, showcasing impressive performance & suggesting a future where AI helps us understand the universe.
- Grok 3 outperformed various models in tests like AIME, GPQA, and LCB, with increased compute capacity for performance boost.
- Developed in two stages, Grok 3's training involved 100,000 GPUs initially, scaling up to 200,000 GPUs.
- The model features advanced reasoning capabilities and reasoning models accessible through the Grok app for mathematics, science, and programming.
- While some view Grok 3 as a breakthrough, others like Dharmesh Shah and Andrej Karpathy suggest it resembles DeepSeek with enhanced compute power.
- DeepSeek's scalability with 200,000 GPUs poses an interesting perspective compared to its previous versions launched on limited budgets.
- Grok 3, available to Premium Plus subscribers, boasts chat capabilities, deep search, and advanced reasoning through the Grok app and website.
- The model excelled in the LMSYS Arena, showcasing problem-solving abilities and creativity, like generating code for 3D plot animations and game creation.
- DeepSearch, a feature introduced by xAI, allows users to ask complex questions and receive detailed answers, resembling capabilities of Deep Research by other AI models.
- Grok app's future plans include voice mode, the release of Grok 3 models through an enterprise API, and open-sourcing Grok 2 in the coming months.
Read Full Article
9 Likes
Towards Data Science
3h
149
Image Credit: Towards Data Science
Learning How to Play Atari Games Through Deep Neural Networks
- Atari games like Pong can be framed as Reinforcement Learning (RL) problems, utilizing Markov Decision Processes.
- Tabular approaches face challenges due to the vast number of states in Atari games, leading to intractability.
- A shift to supervised learning poses issues due to the sequential nature of Atari games and the requirement for hand-labeled datasets.
- Deep-Q Networks (DQN) address Atari game challenges through function approximation and Q-learning.
- DQN uses Convolutional Neural Networks (CNNs) to handle continuous state spaces and distill image features.
- Function approximation in DQN involves approximating state-action values to generalize Q-values efficiently.
- Experience replay in DQN improves sample independence and addresses non-stationarity in data distribution.
- The introduction of a target network in DQN stabilizes training by reducing target instability.
- By stacking frames and pre-processing visuals, DQN ensures the Markovian property and enhances state representation.
- DQN's efficient training procedures leverage methods such as ε-greedy action selection and replay buffers for stable learning.
Read Full Article
8 Likes
Medium
3h
40
Image Credit: Medium
Paper Explained 3: E5
- Text embeddings are a powerful tool that converts human language into numbers for computers to understand.
- E5 (EmbEddings from bidirEctional Encoder rEpresentations) is an efficient embedding model by Microsoft.
- Text embedding is crucial in AI applications like information retrieval and document classification.
- Contrastive learning is key in preserving semantic similarity during text embedding.
- E5 mitigates limitations of existing models by using a two-step pre-training/finetuning approach.
- E5 uses a shared Transformer encoder and contrastive learning for text embedding.
- E5 is finetuned on labeled datasets using knowledge distillation and a cross-encoder model.
- E5 variants (small, base, large) have shown promising performance in various evaluations.
- E5's innovations include the CCPairs dataset, a two-step training strategy, and model variants.
- Overall, E5 demonstrates superiority in various tasks compared to other models.
Read Full Article
2 Likes
Towards Data Science
4h
54
Image Credit: Towards Data Science
Honestly Uncertain
- David Spiegelhalter's book, 'The Art of Uncertainty,' delves into scoring rules, notably the quadratic rule over the linear one for honesty in probability communication.
- In a TV quiz scenario, participants are asked binary questions and required to express subjective probabilities rather than yes/no answers.
- Linear scoring rules incentivize individuals to lie and communicate extreme probabilities for better scores, leading to dishonesty.
- Proper scoring rules aim to encourage honest communication of true degrees of conviction, rewarding calibrated predictions and penalizing overconfidence.
- The quadratic scoring rule, or Brier score, shapes communication towards truthfulness by rewarding honest ignorance with a +0.5.
- The logarithmic scoring rule penalizes confidently wrong predictions heavily, while the cubic rule promotes excessive caution.
- Scoring rules play a crucial role in reinforcing honesty and calibration in probabilistic forecasts, guiding individuals towards more informative and accurate predictions.
- In practical applications, proper scoring rules are essential for training statistical models and evaluating experts' probabilities to ensure transparency and reliability.
- Subjectivity in probability assessments does not equate to arbitrariness, as scoring rules help assess the honesty and calibration of forecasts with objective metrics.
- While honesty and calibration are distinct concepts in forecasting, proper scoring rules serve as guides to encourage accurate and truthful expression of subjective beliefs.
Read Full Article
3 Likes
Towards Data Science
5h
299
Image Credit: Towards Data Science
The Future of Data: How Decision Intelligence is Revolutionizing Data
- Decision Intelligence (DI) is an interdisciplinary field that uses AI to enhance decision-making across all areas of a business.
- AI provides the technology to mimic human intelligence, while DI focuses on applying that technology to improve how decisions are made.
- DI creates value through increased revenue, cost reduction, improved efficiency, and risk mitigation.
- DI can be implemented in various industries to optimize processes and decision-making, such as retail, healthcare, finance, manufacturing, and transportation.
Read Full Article
18 Likes
VentureBeat
8h
308
Image Credit: VentureBeat
Aomni just raised $4M to prove AI can boost sales without replacing humans
- Aomni, an AI platform for sales teams, raises $4 million in seed funding.
- The company focuses on human-centric approach in a market saturated with AI tools.
- Aomni uses AI agents for real-time web research on potential customers.
- Through AI augmentation, Aomni aims to enhance, not replace, human capabilities in sales.
Read Full Article
18 Likes
Analyticsindiamag
11h
298
Image Credit: Analyticsindiamag
7-Eleven Appoints Malahar Pinnelli as New VP and Country Leader for India GSC
- 7-Eleven Global Solution Center (GSC) in India has appointed Malahar Pinnelli as the new vice president and country leader.
- Pinnelli has more than 20 years of experience in digital transformation and global operations.
- He is known for his people-first approach and fostering high-performance teams.
- 7-Eleven is working with Reliance Retail in India to modernize the small-retail environment and enhance convenience for shoppers.
Read Full Article
17 Likes
Medium
12h
176
Image Credit: Medium
**The Whispering Shadows (Part 7)**
- Eleanor warns Emma that the house will take her as well.
- Emma realizes the locket is a vessel, holding the spirits of the house.
- She opens the locket, releasing the trapped spirits and ending the curse.
- Eleanor thanks Emma before disappearing into the light.
Read Full Article
10 Likes
For uninterrupted reading, download the app