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Data Science News
Medium
4d
264
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From Prototype to Production: Enhancing LLM Accuracy
- This article discusses how to measure and improve accuracy for an SQL agent built using LLM model and SQL database. Starting with a prototype, the article explores methods to measure accuracy and improve it using self-reflection and retrieval-augmented generation (RAG) techniques.
- The LLM model used in this project is Llama 3.1 8B from Meta, and the SQL database is ClickHouse. After building the prototype, the author creates a “golden” evaluation set of questions and correct answers to compare the model's output with them.
- The author discusses the nuances of evaluating accuracy and scoring the generated results of queries. Then, the article explores self-reflection and RAG techniques to improve accuracy.
- The article also discusses the usage of Chroma database as a local vector storage with OpenAI embeddings to find chunks that are similar to the query for RAG.
- Finally, after combining self-reflection and RAG approaches, the author achieved 70% accuracy, which can be further improved using fine-tuning technique.
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Analyticsindiamag
4d
158
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OpenAI Sets the Stage for Agentic AI with ChatGPT Desktop Apps for Mac and Windows
- OpenAI has advanced the capability of ChatGPT from a conversational assistant to an agentic tool.
- ChatGPT can now work collaboratively with various desktop applications such as Apple Notes, Notion or Warp.
- The integration of Advance Voice Mode with ChatGPT, lets the user work hands-free, controlled by your voice-based commands.
- The user demonstrations also showed how ChatGPT helped analyze Git comments in Warp.
- OpenAI confirmed the plan to launch a new AI agent titled ‘Operator” in 2025.
- Google announced Project Mariner while Microsoft announced the Copilot Vision.
- A new and powerful frontier model is expected to be the last announcement of 12 Days of OpenAI.
- O1 is suggested to be the most powerful AI model yet and even outperforms the Claude 3.5 Sonnet in coding tasks.
- On the ninth day, OpenAI launched the O1 model in the API and upgraded it with function calls, structured outputs, and reasoning effort controls.
- OpenAI confirmed the plan to launch a new AI agent titled ‘Operator” in 2025.
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Medium
4d
256
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Model2Vec: Making Large-Scale Embedding Generation Manageable
- Model2Vec is a technique that allows for faster and scalable generation of embeddings.
- It distills a large, fully contextualized transformer into a smaller static model.
- While losing some context-awareness, it significantly speeds up the embedding generation process.
- Model2Vec is a practical alternative for large-scale embedding generation tasks.
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Dev
4d
146
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Gemini 2.0: A New Era of AI
- Gemini 2.0 is an advanced language model developed by Google DeepMind, marking a new era of AI capabilities.
- Key features of Gemini 2.0 include multimodal understanding, enhanced reasoning and problem-solving, native tool use, and improved speed and performance.
- Applications of Gemini 2.0 span across research and development, business and industry, education and training, and creative arts.
- Gemini 2.0 has the potential to revolutionize various industries and aspects of daily life as AI continues to evolve.
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Johndcook
5d
309
Can AI models reason: Just a stochastic parrot?
- OpenAI has released its full o1 model, which is capable of multi-step reasoning.
- AI models are often referred to as 'stochastic parrots' that simply repeat their training data blindly.
- However, recent evidence suggests that AI models form new connections between information during training, allowing them to generate valid answers.
- Whether this can be classified as 'reasoning' is still up for debate.
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VentureBeat
5d
395
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Google unveils new reasoning model Gemini 2.0 Flash Thinking to rival OpenAI o1
- Google has announced Gemini 2.0 Flash Thinking, a multimodal reasoning model.
- Gemini 2.0 Flash Thinking offers transparent insight into its decision-making process.
- The model performs well in tests, tackling tricky questions and breaking down complex problems.
- Gemini 2.0 Flash Thinking expands its potential use cases with its multimodal capability.
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Nycdatascience
5d
395
Image Credit: Nycdatascience
R Project: E-Commerce Customer Behavior
- This project aims to help businesses better understand what their customers want and what incentivizes them to place an order.
- The analysis is based on segmentation into different categories of customers, which considers purchasing patterns, membership type, and demographic information, such as gender and location.
- The dataset provides a comprehensive view of customer behavior within an e-commerce platform in terms of structure, with eleven columns providing a holistic overview of customer profiles and behaviors.
- Memberships are classified by spending into Bronze, Silver, and Gold for this customer set.Fig.2
- The average amount customers spend when a discount is applied indicates that Gold and Silver members are significantly more likely to take advantage of discounts compared to Bronze members.
- Regarding target demographics, the data indicates that females are more likely to take advantage of discounts than males.
- City preference and performance: Customers in Houston represent the lowest average ratings, which may partly be attributed to the economic conditions and customer sentiments. The highest ratings come from customers in San Francisco, with New York customers close behind.
- Machine learning (ML) applications for e-commerce customer behavior offer a range of powerful tools for analyzing and enhancing customer interactions. ML has the potential to transform e-commerce by providing deeper insights into customer behavior, enhancing personalization, and optimizing operational efficiencies.
- Oreste RUKUNDO developed this R Shiny App as one of his projects for the New York City Data Science Academy program.
- The R Shiny App offers a user-friendly interface with interactive data visualization and rapid prototyping.
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Analyticsindiamag
5d
138
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When Ali Ghodsi Almost Fell Off the Chair
- Databricks chief Ali Ghodsi credits media leaks for creating investor frenzy.
- Databricks raises $10 billion in funding round, surpassing initial target.
- Ghodsi mentions interest from investors after press leaks, leading to increased funding.
- Databricks focuses on AI development, acquisitions, expansion, and employee liquidity.
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Medium
5d
146
Day 23: Recommendation Systems
- Collaborative filtering and content-based filtering are two types of recommendation systems that rely on user-item interactions.
- Challenges include cold start problems and scalability for collaborative filtering, while content-based filtering may face over-specialization issues.
- Hybrid recommendation systems combine multiple techniques to overcome limitations, such as combining collaborative filtering and content-based filtering.
- The article also provides resources and links related to building recommendation systems.
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Medium
5d
216
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LinkedIn Scraping Trends, Predictions & Bright Data User Insights
- Automated data collection is at the forefront of LinkedIn scraping trends.
- Another significant trend in LinkedIn data scraping is the enhanced precision in targeting specific data points.
- The use of proxies and APIs is becoming increasingly popular in the realm of LinkedIn data scraping.
- Bright Data has emerged as a leading player in the field of LinkedIn data scraping.
- The future of LinkedIn data scraping is set to be shaped by several technological advancements.
- LinkedIn data scraping offers a wealth of opportunities for businesses to enhance their operations and decision-making processes.
- Legal compliance is a critical aspect of LinkedIn data scraping.
- The future of LinkedIn data scraping is bright, with significant advancements and opportunities on the horizon.
- Moreover, businesses should stay informed about the latest trends and advancements in LinkedIn data scraping.
- Finally, businesses should remain agile and adaptable in their approach to LinkedIn data scraping.
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Analyticsindiamag
5d
81
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Oklo and Switch Seal Deal for 12 GW of Advanced Nuclear Power
- California-based nuclear technology company, Oklo, has signed a non-binding master power agreement with Switch.
- The agreement is to deploy 12 gigawatts of advanced nuclear power through 2044.
- Oklo will develop and operate Aurora powerhouses to supply clean energy to Switch's data centres.
- The collaboration aims to accelerate clean energy adoption and meet growing energy demands.
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4 Likes
VentureBeat
5d
85
Small model, big impact: Patronus AI’s Glider outperforms GPT-4 in key AI evaluation tasks
- A startup called Patronus AI has released an open-source language model called Glider.
- Glider outperforms OpenAI's GPT-4o-mini on key benchmarks for evaluating AI outputs.
- The model is designed to provide detailed explanations for its decisions.
- Glider offers advantages such as cost-effectiveness, real-time evaluation, and the ability to assess multiple aspects simultaneously.
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Analyticsindiamag
5d
232
Image Credit: Analyticsindiamag
How DataStax is Simplifying AI Agent Development
- DataStax is simplifying AI agent development by redefining how enterprises build and deploy intelligent agents.
- Building AI agents is no longer a complex task and almost everyone can develop their own agents without requiring much technical knowledge.
- Langflow is a low-code app builder for RAG and multi-agent AI applications that lets developers visually create workflows by simply drag and drop components.
- JVector is designed for speed and flexibility and can process large datasets that exceed memory capacity.
- DataStax’s platform is built on Apache Cassandra that addresses one of the most pressing challenges in AI development: data fragmentation.
- DataStax’s real-time data architecture ensures that agents have immediate access to relevant information for applications ranging from customer service chatbots to predictive maintenance systems in industrial settings.
- DataStax is investigating sophisticated multi-agent systems in which agents not only work together but also learn from one another in real time.
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14 Likes
Medium
5d
4
Image Credit: Medium
Unlock the Potential of AI Agents in Task Automation
- AI agents are becoming the financial advisors boosting productivity and efficiency.
- AI agents help finish tasks 126% faster and improve workflow efficiency by 61%.
- Generative AI with large language models revolutionizing cutting-edge research and insightful reports.
- AI agents outperform traditional methods in optimizing supply chains and call handling times.
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Medium
5d
130
Image Credit: Medium
These Hobby Coding Projects Saved Me 50+ Hours This Year
- Hobby coding projects saved the author 50+ hours this year.
- The author used coding to parse Walmart receipts and track grocery spending.
- They also utilized a PDF parser to process credit card statements for better financial transparency.
- Additionally, the author automated tasks using Python and developed a niche search engine using Google Sheets.
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