Large language models (LLMs) face significant challenges when trained as autonomous agents in interactive environments. Unlike static tasks, agent settings require sequential decision-making, cross-turn memory maintenance, and adaptation to stochastic environmental feedback. These capabilities are essential for developing effective planning…
JetBrains has officially open-sourced Mellum, a purpose-built 4-billion-parameter language model tailored for software development tasks. Developed from the ground up, Mellum reflects JetBrains’ engineering-first approach, offering a domain-specialized model trained for practical usage across codebases and programming environments. With its…
In a significant step toward enabling autonomous AI systems in space, Meta and Booz Allen Hamilton have announced the deployment of Space Llama, a customized instance of Meta’s open-source large language model, Llama 3.2, aboard the International Space Station (ISS)…
As large language model (LLM) agents gain traction across enterprise and research ecosystems, a foundational gap has emerged: communication. While agents today can autonomously reason, plan, and act, their ability to coordinate with other agents or interface with external tools…
With rising demand for AI systems that can handle tasks involving multi-step logic, mathematical proofs, and software development, researchers have turned their attention toward enhancing models’ reasoning potential. This capability, once believed to be exclusive to human intelligence, is now…
In this tutorial, we will explore how to leverage the capabilities of Fireworks AI for building intelligent, tool-enabled agents with LangChain. Starting from installing the langchain-fireworks package and configuring your Fireworks API key, we’ll set up a ChatFireworks LLM instance,…
