AI Development Over Two Years: Somewhat similar to the state before a Docker release – fragmented and rapidly evolving.
Artificial Intelligence (AI) has undoubtedly been one of the most hotly debated topics in the technology field in recent years, particularly over the past two years, with AI technology experiencing rapid advancements. Whether it’s deep learning, natural language processing, or computer vision and automated decision systems, the application scenarios for AI are constantly emerging. However, despite continuous technological breakthroughs, AI still faces a bottleneck similar to that of a Docker release – a lack of a killer app to truly ignite the market.
Protobuf Zero Value Pitfalls: When Default Values Become an Invisible Killer of Business Logic
The US stock market has three trading sessions: pre-market, live market, and post-market. The logic for pushing data – whether it’s full data or numerical increments – is optimized to conserve bandwidth (sending as little data as possible). Initially, only the full dataset is sent in the first transmission; subsequent transmissions are incremental updates of all fields. Why not use the optimal solution? This involves multiple project teams, some of which have been live for many years.
Long time no see bull market in stocks
On the eve of the 2024 National Day holiday, China’s stock market experienced a remarkable surge, attracting considerable attention. However, following the holiday, the market unexpectedly turned to a dramatic plunge. This “polarization” of the stock market – a rollercoaster ride between soaring highs and plummeting lows – not only subjected investors to a thrilling yet nerve-wracking experience, but also prompted deep reflection within the market regarding policy, economic conditions, and fundamental market rules.
Background Service TCP Communication Anomaly Troubleshooting
Business Model: The backend service establishes a connection with the group’s market data gateway using TCP. Each time a connection is established, it must first send an authorization request and then continuously send heartbeat packages to maintain the connection status.
However, one day, an alert message was received indicating that the service had disconnected. After carefully examining the logs, it was discovered that the backend service was continuously sending heartbeat packages, but the other party did not respond at all, yet the connection remained open.
“Making an investment and making money isn’t urgent, and getting anxious won’t help either.”
Reflecting on years of stock trading experiences, although I didn’t make a fortune, I also didn’t lose too much. The biggest issue was an unreasonable allocation of funds and an unstable mindset. Currently, my primary source of income is work, earning a fixed salary each day through part-time jobs, and my ability to withstand financial fluctuations remains at the level of bonds and bank deposits. However, people are inherently greedy; if you buy too little, even when prices rise, you won’t make money; and if you buy too much, you will lose money.
Echoes of bygone years, offering unconventional fantasies and emotional solace.
As the earliest web novel readers entered middle age, the type of “revenge” stories catered to them also evolved. The protagonists often appeared as fathers, mentors, or elderly figures, meeting the different needs and demands of middle-aged readers for life and emotion. These works no longer solely focused on upgrades and reversals; instead, they emphasized emotional resonance and life reflections. Target Audience:
ollama local deployment of deepseek-R1
Ollama is an open-source AI tool designed to enable users to run and deploy large language models (LLMs) locally. Its goal is to provide a convenient and efficient way for developers to use models like GPT on their local machines without relying on cloud services. Ollama supports multiple models and focuses on optimizing performance, allowing even resource-constrained devices to smoothly run these models.