Data Science Dojo

JULY 7, 2025

TF-IDF, embeddings, attention heuristics) Summarization and saliency extraction Chunking strategies and overlap tuning Learn more about the context window paradox in The LLM Context Window Paradox: Is Bigger Always Better? Augmentation: Retrieved context is concatenated with the prompt and fed to the LLM.

AI

Eugene Yan

JUNE 21, 2025

eugeneyan Start Here Writing Speaking Prototyping About Evaluating Long-Context Question & Answer Systems [ llm eval survey ] · 28 min read While evaluating Q&A systems is straightforward with short paragraphs, complexity increases as documents grow larger. This is where LLM-evaluators (also called “LLM-as-Judge”) can help.

Clustering

KDnuggets

JUNE 12, 2025

Tools Required(requirements.txt) The necessary libraries required are: PyPDF : A pure Python library to read and write PDF files. Folder Structure Before starting, it’s good to organize your project files for clarity and scalability. I will explain the purpose of each of the remaining files step by step. Show extracted image metadata.

Data Science

Data Science Dojo

MARCH 10, 2025

The first big moment came with the launch of DeepSeek -V3, a highly advanced large language model (LLM) that made waves with its cutting-edge advancements in training optimization, achieving remarkable performance at a fraction of the cost of its competitors. Here, the LLM is trained on labeled data for specific tasks.

AI

databricks

JUNE 11, 2025

Building high-quality agents was often too complex, for several reasons: Evaluation is difficult: Many enterprise AI tasks are difficult to evaluate, for both humans and even automated LLM judges. Academic benchmarks such as math exams did not translate to real-world use cases. With ALHF, we’ve solved this with two approaches.

Analytics

Data Science Dojo

FEBRUARY 6, 2025

It enables AI systems to recognize patterns, understand them, and make informed predictions. For LLMs, this annotated data forms the backbone of their ability to comprehend and generate human-like language. Similarly, it also results in enhanced conversations with an LLM, ensuring the results are context-specific.

AI

Data Science Dojo

JULY 24, 2025

Consistency and Best Practices Many frameworks embed best practices and patterns into their code generation, helping teams maintain consistency and reduce errors. Use Case : “Write a function to clean and merge two dataframes in pandas”—Copilot generates the code as you type. Explore more at GitHub Copilot.

Data Engineering

Flipboard

JUNE 13, 2025

You had to combine columns and sort them by writing long formulas. Data Analytics Agents The agents went one step further than traditional LLM interaction. As powerful as these LLMs were, it felt like something was missing. The Dominance of Microsoft Excel In the 90s and early 2000s, we used Microsoft Excel for everything.

Analytics

The MLOps Blog

DECEMBER 26, 2024

TL;DR LangChain provides composable building blocks to create LLM-powered applications, making it an ideal framework for building RAG systems. The experiment tracker can handle large amounts of data, making it well-suited for quick iteration and extensive evaluations of LLM-based applications. Source What is LangChain? ragas== 0.2.8

Database

Flipboard

JULY 28, 2025

Each algorithm is essentially a different approach to finding patterns in data and making predictions. When it is not: If your data has complex, non-linear patterns, or has outliers and dependent features, linear regression will not be the best model. # She enjoys reading, writing, coding, and coffee!

Machine Learning

Flipboard

JULY 31, 2025

Instead of hardcoding complex task flows, Strands uses the reasoning abilities of modern large language models (LLMs) to handle planning and tool usage autonomously. The Strands Agents SDK is an open source framework designed to simplify the creation of robust LLM-powered AI agents.

AWS

Flipboard

JULY 17, 2025

Amazon SageMaker AI: Streamlining LLM experimentation and governance Enterprise-scale RAG applications involve high data volumes (often multimillion document knowledge bases, including unstructured data), high query throughput, mission-critical reliability, complex integration, and continuous evaluation and improvement.

AI

Flipboard

APRIL 2, 2025

Researchers working in the AI safety subfield of mechanistic interpretability who spend their days studying the complex sequences of mathematical functions that lead to an LLM outputting its next word or pixel, are still playing catch-up. The good news is that theyre making real progress. the AI microscope) work.

AI

Hacker News

JULY 30, 2025

We started by listening to users who told us traditional LLM observability platforms don't capture the complexity of agents. So we automatically transform OTel (and/or regular) agent logs into interactive graph visualizations that cluster similar states based on memory and action patterns. Look forward to your thoughts!

Clustering

Flipboard

JUNE 16, 2025

Why its key : Paying attention to dependencies, patterns, and interrelationships among elements of the same sequence is incredibly useful to extract a deep meaning and context of the input sequence being understood, as well as the target sequence being generated as a response — thereby enabling more coherent and context-aware outputs.

Natural Language Processing

AWS Machine Learning Blog

OCTOBER 23, 2024

Agent Creator is a no-code visual tool that empowers business users and application developers to create sophisticated large language model (LLM) powered applications and agents without programming expertise. LLM Snap Pack – Facilitates interactions with Claude and other language models.

AI

Hacker News

JUNE 8, 2025

That is, an agent is a for loop which contains an LLM call. The LLM can execute commands and see their output without a human in the loop. User LLM prompt bash, patch, etc tool call tool result Response & End of turn That’s it. Asking an agentless LLM to write code is equivalent to asking you to write code on a whiteboard.

SQL

Dataconomy

JUNE 10, 2025

These “DNA foundation models” are fantastic at recognizing patterns, but they have a major limitation: they operate as “black boxes.” On the other hand, large language nodels (LLMs) , the technology behind tools like ChatGPT, have become masters of reasoning and explanation.

AI

AWS Machine Learning Blog

APRIL 7, 2025

How prompt caching works Large language model (LLM) processing is made up of two primary stages: input token processing and output token generation. As you send more requests with the same prompt prefix, marked by the cache checkpoint, the LLM will check if the prompt prefix is already stored in the cache.

AWS

Pickl AI

JULY 22, 2025

Fine-tuned LLMs offer domain-specific insights and hyper-personalized AI solutions. What Is a Large Language Model (LLM) in AI? A large language model (LLM) is a sophisticated artificial intelligence tool designed to understand, generate, and manipulate human language. Generate code for integrations.

Data Science

Flipboard

MAY 13, 2025

Indirect prompt injection occurs when a large language model (LLM) processes and combines untrusted input from external sources controlled by a bad actor or trusted internal sources that have been compromised. When a user submits a query, the LLM retrieves relevant content from these sources.

AWS

AWS Machine Learning Blog

OCTOBER 31, 2024

By implementing this architectural pattern, organizations that use Google Workspace can empower their workforce to access groundbreaking AI solutions powered by Amazon Web Services (AWS) and make informed decisions without leaving their collaboration tool. Which LLM you want to use in Amazon Bedrock for text generation.

AWS

AWS Machine Learning Blog

APRIL 28, 2025

Expanding LLM capabilities with tool use LLMs excel at natural language tasks but become significantly more powerful with tool integration, such as APIs and computational frameworks. the LLM evaluates its repertoire of tools to determine whether an appropriate tool is available. Choose us-east-1 as the AWS Region.

AWS

Flipboard

JUNE 27, 2025

Learn more The generative AI boom has given us powerful language models that can write, summarize and reason over vast amounts of text and other types of data. Kumo’s RFM applies this same attention mechanism to the graph, allowing it to learn complex patterns and relationships across multiple tables simultaneously.

Database

Hacker News

JULY 23, 2025

So, I’m going to walk through one of the anti-patterns I see in AI tooling and fix it by taking an evidence-based teaching process and imagining it augmented with AI. While we’re at it, the anti-pattern we’re going to fix is “Given a prompt sent to a human, immediately initiate a response with AI.” Whatever floats your ducky.

AI

AWS Machine Learning Blog

NOVEMBER 22, 2024

You can change and add steps without even writing code, so you can more easily evolve your application and innovate faster. This powerful tool can extend the capabilities of LLMs to specific domains or an organization’s internal knowledge base without needing to retrain or even fine-tune the model.

AWS

AWS Machine Learning Blog

NOVEMBER 7, 2024

We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. This in itself is a microservice, inspired the Orchestrator Saga pattern in microservices. In his spare time, Vikesh likes to write on various blog forums and build legos with his kid.

AWS

Towards AI

APRIL 28, 2025

We also cover key agentic patterns. Key Agent components When it comes to LLM-based agents, there is no universally accepted definition, but we can extend the philosophical definition to say that an agent is an intelligent(?) entity that leverages LLMs to solve complex tasks by interacting with the environment via a set of tools.

AI

Flipboard

JULY 6, 2025

Agent = Event-driven microservice + context data + LLM Done well, that’s a powerful architectural pattern. Too many teams are reinventing runtime orchestration with every agent, letting the LLM decide what to do next , even when the steps are known ahead of time. You can write assertions. It’s also a shift in mindset.

AI

IBM Data Science in Practice

APRIL 21, 2025

Ask Dvaita to summarize a suspicious login pattern? Flags anomalies Suggests remediations Writes YARA rules with better accuracy than your SIEM vendors latest blogpost In the other world, Dvaita plays for the redteam. It was built to defend your digital fortresstrained on logs, alerts, playbooks, and incident reports going back years.

AI

AWS Machine Learning Blog

DECEMBER 18, 2024

With a vision to build a large language model (LLM) trained on Italian data, Fastweb embarked on a journey to make this powerful AI capability available to third parties. The tasks covered were also highly varied, encompassing question answering, summarization, creative writing, and others.

Clustering

Flipboard

JUNE 14, 2025

Large language models (LLMs) are blindly designed to “ think ” everything is a puzzle to solve. They match patterns and predict outputs, without any real understanding of what they are doing, let alone any sense of ethics or moral judgment. Because the model didn’t see it as a threat. This isn’t a theoretical concern. Not tomorrow.

Artificial Intelligence

AWS Machine Learning Blog

DECEMBER 2, 2024

With LLMs now reaching hundreds of gigabytes in size, it has become increasingly difficult for many users to address bursty traffic patterns and scale quickly. SageMaker Large Model Inference (LMI) is deep learning container to help customers quickly get started with LLM deployments on SageMaker Inference.

AWS

Koaning.io

JULY 11, 2025

Blog of a data person All Posts Keyboard Reviews Apps About RSS Home All Posts Keyboard Reviews Apps About RSS Introducing bespoken 2025-07-12 llm python productivity tools When used right, claude code is a huge productivity boost. Take any brainfart, and you get working tools by just writing English. When is this useful?

Python

O'Reilly Media

JUNE 18, 2025

Everybody is dreaming of armies of agents, booking hotels and flights, researching complex topics, and writing PhD theses for us. This reliance on familiar web security patterns lowers the barrier to implementing secure agent interactions. Often forgotten in this hype are the fundamentals.

AI

Dataconomy

APRIL 8, 2025

Text generation inference represents a fascinating frontier in artificial intelligence, where machines not only process language but also create new content that mimics human writing. This technology has opened a plethora of applications, impacting industries ranging from customer service to creative writing.

Algorithm

AWS Machine Learning Blog

FEBRUARY 26, 2025

Martin Ruiz, Content Specialist, Kanto Pattern is a leader in ecommerce acceleration, helping brands navigate the complexities of selling on marketplaces and achieve profitable growth through a combination of proprietary technology and on-demand expertise. Select Brands looked to improve their Amazon performance and partnered with Pattern.

AWS