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How to Build Traceable and Evaluated LLM Workflows Using Promptflow, Prompty, and OpenAI

ai, AI (Artificial Intelligence), Applications, Artificial Intelligence, Editors Pick, Large Language Model, Staff, Technology, Tutorials

In this tutorial, we build a complete, production-style LLM workflow using Promptflow within a Colab environment. We begin by setting up a reliable keyring backend to avoid OS dependency issues and securely configure our OpenAI connection. From there, we establish a clean workspace and define a structured Prompty file that acts as the core LLM […]

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Introducing Translator Copilot: Bridging Customers and Translators with AI  

2023, ai, AI (Artificial Intelligence), AI, Automation & Tech, Artificial Intelligence, Blog, Language, Large Language Model, LLM, Quality, Research, Translation Quality

Translator Copilot is Unbabel’s new AI assistant built directly into our CAT tool. It leverages large language models (LLMs) and Unbabel’s proprietary Quality Estimation (QE) technology to act as a smart second pair of eyes for every translation. From checking whether customer instructions are followed to flagging potential errors in real time, Translator Copilot strengthens

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Introducing Translator Copilot: Bridging Customers and Translators with AI  

2023, ai, AI (Artificial Intelligence), AI, Automation & Tech, Artificial Intelligence, Blog, Language, Large Language Model, LLM, Quality, Research, Translation Quality

Translator Copilot is Unbabel’s new AI assistant built directly into our CAT tool. It leverages large language models (LLMs) and Unbabel’s proprietary Quality Estimation (QE) technology to act as a smart second pair of eyes for every translation. From checking whether customer instructions are followed to flagging potential errors in real time, Translator Copilot strengthens

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TowerLLM, Unbabel’s GenAI for translation, ushers in the next era of machine translation  

2023, ai, AI (Artificial Intelligence), AI, Automation & Tech, Artificial Intelligence, Blog, Language, Large Language Model, LLM, Translation Quality

Machine translation (MT) has come a long way. From the early rule-based systems to the advent of neural networks, the field has seen remarkable advancements. For more than a decade, Unbabel has been at the forefront of this evolution, leveraging state-of-the-art technologies like quality estimation (QE) to enhance translation accuracy and fluency.  However, despite all

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Announcing Tower: An Open Multilingual LLM for Translation-Related Tasks

2023, ai, AI (Artificial Intelligence), AI, Automation & Tech, Artificial Intelligence, Blog, Language, Large Language Model, Localization & Translation, NLP and MT, Quality, Research, Translation, Translation Quality

Updated February 9, 2024 to include the newest iteration of Tower models. We are thrilled to announce the release of Tower, a suite of multilingual large language models (LLM) optimized for translation-related tasks. Tower is built on top of LLaMA2 [1], comes in two sizes — 7B and 13B parameters —, and currently supports 10

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Meet Talkie-1930: A 13B Open-Weight LLM Trained on Pre-1931 English Text for Historical Reasoning and Generalization Research

agentic ai, ai, AI (Artificial Intelligence), Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Software engineering, Staff, Tech News, Technology

What if a language model had never heard of the internet, smartphones, or even World War II? That’s not a hypothetical — it’s exactly what a team of researchers led by Nick Levine, David Duvenaud, and Alec Radford has built. They call it talkie, and it may be the most historically disciplined large language model

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Build a Reinforcement Learning Powered Agent that Learns to Retrieve Relevant Long-Term Memories for Accurate LLM Question Answering

agentic ai, ai, AI (Artificial Intelligence), AI Agents, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, Software engineering, Staff, Technology, Tutorials

In this tutorial, we build a Reinforcement Learning–driven agent that learns how to retrieve relevant memories from a long-term memory bank. We start by constructing a synthetic memory dataset and generating queries that require the agent to recall specific information. Using OpenAI embeddings, we convert both memories and queries into vector representations, enabling similarity signals

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Meta AI Releases Sapiens2: A High-Resolution Human-Centric Vision Model for Pose, Segmentation, Normals, Pointmap, and Albedo

ai, AI (Artificial Intelligence), AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Staff, Tech News, Technology, Uncategorized, Vision Language Model

If you’ve ever watched a motion capture system struggle with a person’s fingers, or seen a segmentation model fail to distinguish teeth from gums, you already understand why human-centric computer vision is hard. Humans are not just objects, they come with articulated structure, fine surface details, and enormous variation in pose, clothing, lighting, and ethnicity.

Meta AI Releases Sapiens2: A High-Resolution Human-Centric Vision Model for Pose, Segmentation, Normals, Pointmap, and Albedo Read More »

How to Build a Fully Searchable AI Knowledge Base with OpenKB, OpenRouter, and Llama

agentic ai, ai, AI (Artificial Intelligence), Artificial Intelligence, Editors Pick, Large Language Model, Staff, Technology, Tutorials

In this tutorial, we explore how to build and query a local knowledge base with OpenKB using a free, open model via OpenRouter. We securely retrieve the API key with getpass, set up the environment without hardcoding secrets, and initialize a structured, wiki-style knowledge base from scratch. As we move through the workflow, we add

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Top 7 Benchmarks That Actually Matter for Agentic Reasoning in Large Language Models

agentic ai, ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, Editors Pick, Large Language Model, Staff, Technology, Top

As AI agents move from research demos to production deployments, one question has become impossible to ignore: how do you actually know if an agent is good? Perplexity scores and MMLU leaderboard numbers tell you very little about whether a model can navigate a real website, resolve a GitHub issue, or reliably handle a customer

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