Large Language Models (LLMs) demonstrate strong abilities in common-sense reasoning and interactive decision-making, but often struggle with complex, long-horizon planning tasks. Recent techniques have sought to structure LLM outputs using control flow and other code-adjacent techniques to improve planning performance. These techniques include using variables (to track important information) and functions (to divide complex tasks into smaller re-usable sub-tasks). However, purely code-based approaches can be error-prone and insufficient for handling ambiguous or unstructured data. To address these challenges, we propose REPL-Plan, an LLM planning approach that is fully code-expressive (it can utilize all the benefits of code) while also being dynamic (it can flexibly adapt from errors and use the LLM for fuzzy situations). In REPL-Plan, an LLM solves tasks by interacting with a Read-Eval-Print Loop (REPL), which iteratively executes and evaluates code, similar to language shells or interactive code notebooks, allowing the model to flexibly correct errors and handle tasks dynamically. We demonstrate that REPL-Plan achieves strong results across various planning domains compared to previous methods.

The Roccat Torch is a fun, flashy microphone for gamers and streamers, or anyone who likes some desktop bling. Don't expect incredible audio quality and you won't be disappointed. Do you need a microphone designed specifically for gamers if you're using it for video games? No, of course not (unless you're looking for a USB microphone for streaming, that is). All-around great choices like the Blue Yeti X are just as good for gaming as they are for podcasting or meetings. But do you want a USB microphone designed with gamers in mind?

If you want a USB microphone for more than just streaming, Best Buy is the place to be today. The online retailer is selling the Blue Yeti X World of Warcraft edition for $95. That's about $45 cheaper than you'll play elsewhere. We took a look at Yeti X as part of our round-up of the best USB microphones for streaming. We deemed it an ideal mic for multi-purpose set-ups beyond just streaming. In terms of audio performance, we found that it was similar to the Elgato Wave:3, which was our top pick for the best USB microphones.

This paper investigates the implementation of voice-enabled Google Assistant and Amazon Alexa on Raspberry Pi. Virtual Assistants are being a new trend in how we interact or do computations with physical devices. A voice-enabled system essentially means a system that processes voice as an input, decodes, or understands the meaning of that input and generates an appropriate voice output. In this paper, we are developing a smart speaker prototype that has the functionalities of both in the same Raspberry Pi. Users can invoke a virtual assistant by saying the hot words and can leverage the best services of both eco-systems. This paper also explains the complex architecture of Google Assistant and Amazon Alexa and the working of both assistants as well. Later, this system can be used to control the smart home IoT devices.

It was one of the strongest fields of development during 2015 and it will also be in 2016. It will certainly be one of the sectors generating most profits for years or decades to come. Imagine an area of hundreds of hectares of arable land, but few planted seeds. Companies like Google, Facebook or Microsoft take time to develop Artificial Intelligence products, generally linked to natural language processing and speech recognition. Some estimates state that the market for Artificial Intelligence-related applications alone will be worth 11.1 billion by 2024.