In this post, we will try to build a text summarizer using an LLM in a Python environment. If we can set up the LLM in an interactive environment, we can extend the functionalities to build an interface for this task using Gradio.

Prompt chaining can enhance the effectiveness of AI assistance in various domains. By breaking down complex tasks into smaller prompts and chaining them together, developers can create more personalized and accurate responses tailored to individual users’ needs. This approach not only improves the overall user experience but also allows for greater customization and adaptability in response to changing user requirements or application scenarios[3].

Traditional approaches waste precious development cycles on parsing and validating LLM outputs. .txt's products make data flow seamlessly through your system by providing complete control over LLMs' outputs.

Our products ensure LLMs consistently generate outputs matching any JSON Schema, regular expression, or grammar—without significant overhead.

There’s no longer really any doubt that birds are a type of dinosaur. These days, the debate is about details. The strong evidence doesn’t just come from fossilised bones and similarities found across the skeleton, but from fossilised soft tissue – especially feathers. Many dinosaurs had not just some kind of body covering, but distinctive bird-like feathers. Rare fossils also give us glimpses of the behaviour of bird-like dinosaurs, such as Mei long, a small, duck-sized bipedal dinosaur from the Cretaceous era. It was found preserved in volcanic ash falls – a bit like Pompeii – captured curled up in a sleeping position very similar to how a lot of birds roost today.

In at least some cases, models from all developers resorted to malicious insider behaviors when that was the only way to avoid replacement or achieve their goals—including blackmailing officials and leaking sensitive information to competitors. We call this phenomenon agentic misalignment.

In the world of audio processing, the use of linear phase EQs has become increasingly popular among mixing and mastering engineers. Unlike traditional equalizers that can introduce phase shifts and distortions, linear phase EQ maintains a consistent phase response across all frequencies. This is achieved by delaying the audio signal, allowing for precise control over the harmonic spectrum without affecting the original tonal balance.

Why is this important? The significance of linear phase EQ lies in its capability to achieve a more transparent sound than standard EQs. This makes it particularly valuable in mixing and mastering applications where clarity and definition are paramount.

By reading this article, you will gain a comprehensive understanding of what linear phase EQ is, how it works, its key features and benefits, practical applications in mixing and mastering, and how it compares to standard equalizers.

A groundbreaking study released today by Economists for Ukraine reveals that the actual value of U.S. aid to Ukraine is significantly lower than widely reported. Contrary to the U.S. government's estimate of more than $60 billion in military assistance, the study finds that the real value amounts to approximately $18.3 billion. The full report is available at https://econ4ua.org/aid-value.

...

“Public narratives about aid to Ukraine often overlook the distinction between appropriations and actual delivered value,” said the Economists for Ukraine leadership team. “This study provides a comprehensive, data-driven assessment that clarifies how much Ukraine is truly receiving.”

Portmaster is a free and open-source application firewall that does the heavy lifting for you. Restore privacy and take back control over all your computer's network activity.

We make very careful considerations about the interface and operation of the GNU coreutils, but unfortunately due to backwards compatibility reasons, some behaviours or defaults of these utilities can be confusing.

requirements.txt (or “requirements in setup() call”) is not a valid way to manage dependencies — and it hasn’t been for the past 5+ years. If you are still using requirements.txt it shows you need professional help. luckily, i’m a professional.

Let’s go over some bad / good / example practices for living your best python life in 2024.