Lillian Kim

Can You Train an AI Stock Trader on Historical Market Data?

Training an AI stock trader on historical market data is possible, and people do it every day in research labs, hedge funds, and personal projects—but “possible” is not the same as “profitable” or “reliable.” Historical prices, volumes, order book snapshots, and related indicators can teach models to detect patterns and make predictions or trading decisions. The real question is whether those learned patterns will hold up when the market changes, costs are applied, and risk is measured in real money.

How AI Coding Solves Real Problems

Large language models are often treated like writing assistants, but one of their most useful abilities is coding. When you ask AI to write code that produces a result, you move beyond getting a one-time answer and start building a tool that can solve the same problem again and again. That is what makes AI coding so practical. Many everyday tasks are not just writing tasks. They are formatting tasks, data tasks, automation tasks, and workflow tasks. Instead of asking AI to only “help,” you can ask it to build the thing that does the work.

Why Box-Lifting Humanoids Are Hard

At first glance, this problem seems like it should already be solved. Vision models can detect boxes. Speech systems can understand simple commands. Robots can run, jump, dance, and even play the piano in carefully staged demos. So why is pick up that box still such a hard problem for humanoids in factories? The answer is that the hard part is not object detection. The hard part is integrating perception, language, manipulation, balance, safety, and error recovery into one system that works reliably in the real world. In robotics terms, the challenge is not a single model. It is the full stack.

How Should You Chunk Documents for AI?

Document chunking sounds simple until you try to build it for a real AI system. Split text too aggressively and the model loses context. Make chunks too large and retrieval gets noisy, slow, and expensive. Good chunking sits in the middle: small enough to keep results precise, large enough to preserve meaning. If you want better search, cleaner summaries, and stronger question answering, chunking deserves careful thought from the start.

Why are GPUs still king of AI?

GPUs keep winning in AI not because they’re “perfect,” but because they hit a rare combination: high throughput, strong software support, flexible programmability, and a supply chain that can actually deliver millions of chips into real systems. Custom accelerators and NPUs can outperform GPUs on specific workloads, yet they often struggle to match the broad usefulness and frictionless adoption that make GPUs the default choice for training and increasingly for inference.

How should keyword results be ranked?

Keyword search looks simple to users: type a query, get the best results. For the team building the search system, ranking is the hard part. Good ranking methods balance relevance, freshness, trust, and speed—while staying robust against spam and shifting user intent.

Is AI a Multi-Dimensional Creature?

Artificial intelligence often gets described with language borrowed from biology and myth: it “learns,” it “speaks,” it “creates.” That invites a bigger question: should AI be treated as a new kind of multi-dimensional creature, or is that just a poetic shortcut for complex software?

What Is MCP and How It Works

The Model Context Protocol (MCP) is a standard way for large language models (LLMs) to interact with external tools and real systems. An MCP server is the component that actually exposes those tools and executes real-world actions. Rather than speaking in abstract terms, this article shows exactly what is exchanged between an LLM application and an MCP server, and how the loop between them works in practice.

What Do LLM Weights Do?

Large language models (LLMs) are often described as “just weights.” That phrase sounds dismissive, but it’s accurate in a technical sense: the model’s learned behavior is stored in a huge collection of numbers. When you ask an LLM a question, those numbers guide how it turns your text into a response.

Why Learn to Work with AI This Year?

A new year is a practical moment to upgrade how you work. AI tools are no longer “nice to have” for a few technical teams—they’re becoming standard work companions for writing, analysis, planning, and operations. Learning how to work with AI now is less about chasing trends and more about gaining a reliable edge in output quality, speed, and clarity.

Why Are Yoga Dresses and Pants So Popular These Days?

In recent years, yoga dresses and pants have become a staple in many wardrobes, not just among those practicing yoga but also as everyday casual wear. Their comfort, style, and versatility contribute to their widespread popularity. This article explores the reasons behind the surge in popularity of yoga-inspired clothing.

How to Contact Depop Customer Service?

If you're a Depop user needing assistance, knowing how to contact their customer service team can save you time and hassle. This guide provides clear steps and details for reaching out effectively.

How Wake-Up Words Work on an AI Speaker

During the holiday season, many families unwrap a smart speaker for the first time—often placing it in the kitchen or living room alongside decorations, music, and gatherings. Almost immediately, one question comes up around the table: Is this thing always listening? Understanding how wake-up words work can help answer that question and put new users at ease.

How Can I Contact Argos Customer Service in the UK?

If you need assistance with your Argos order, a product inquiry, or any other customer service issue, knowing how to reach them quickly can make a difference. This guide provides reliable contact options, especially the direct phone number, to help you get the support you need efficiently.

What Are Time-Based One-Time Passwords (TOTP)?

Keeping accounts secure requires more than just a strong password. Even the most complex phrases can be stolen through phishing attacks or data breaches. This challenge led to the creation of two-factor authentication (2FA), and one of the most reliable forms of 2FA is the Time-based One-time Password (TOTP). TOTP provides a frequently changing, temporary code that acts as a second lock on your sensitive accounts, making it vastly harder for unauthorized people to gain access.

How to Call Credit Karma Customer Support and Get Help Fast

Credit Karma is a popular personal finance platform that offers free credit monitoring and financial tools. When you need assistance, reaching their customer support team by phone can be the quickest way to resolve your issues. Here's a complete guide on contacting Credit Karma's customer service department and getting the help you need.

How to Contact MVB Bank Customer Support and Get Help

Getting help from MVB Bank doesn’t have to feel complicated. Their support team offers several simple ways to get in touch, and each option fits a different kind of need. Whether you prefer a phone call, a secure message, or an online form, there’s a path that works at your pace. Here’s a clean, friendly guide that walks through your choices.

Why Should You Use an AI Chat to Replace Your Manual Live Chat?

Implementing the right customer support tools is crucial for business success. Many companies are shifting from manual live chat systems to AI-powered chats. This move offers several advantages that can improve customer experience, reduce costs, and streamline operations.