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When you type a query into a search engine, something has to decide which documents are actually relevant — and how to rank them. BM25 (Best Matching 25), the algorithm powering search engines like Elasticsearch and Lucene, has been the dominant answer to that question for decades. It scores documents by looking at three things: […]
How BM25 and RAG Retrieve Information Differently? Read More »
In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by Google DeepMind for building reinforcement learning algorithms with JAX. We combine RLax with JAX, Haiku, and Optax to construct a Deep Q-Learning (DQN) agent that learns to solve the CartPole environment. Instead of using a fully packaged RL framework,
The current state of AI agent development is characterized by significant architectural fragmentation. Software devs building autonomous systems must generally commit to one of several competing ecosystems: LangChain, AutoGen, CrewAI, OpenAI Assistants, or the more recent Claude Code. Each of these ‘Five Frameworks’ utilizes a proprietary method for defining agent logic, memory persistence, and tool
Contract affords AI analytics firm access to trove of data on one of the most important financial centres in the worldPalantir extends reach into British state as it gets access to sensitive FCA dataPalantir’s latest UK contract takes the AI and data analytics company into the heart of one of Britain’s biggest industries: financial services,
FCA deal gives Palantir yet more access to inner workings of power in Britain Read More »
Exclusive: Allowing US tech firm to analyse intelligence in name of tackling fraud raises fresh concerns over privacyFCA deal gives Palantir yet more access to inner workings of power in BritainPalantir is to be granted access to a trove of highly sensitive UK financial regulation data, in a deal that has prompted fresh concerns about
Palantir extends reach into British state as it gets access to sensitive FCA data Read More »
Regulators narrow securities definitions – a shift that could benefit Trump family’s crypto projectsSign up for the Breaking News US email to get newsletter alerts in your inboxOn Tuesday, major US financial regulators published rules for the cryptocurrency industry that may reduce regulatory requirements and that insiders believe will benefit the Trump family’s ventures.The Securities
New crypto regulations likely to be big favor to the Trump family, industry insiders say Read More »
In this tutorial, we explore the capabilities of the pymatgen library for computational materials science using Python. We begin by constructing crystal structures such as silicon, sodium chloride, and a LiFePO₄-like material, and then investigate their lattice properties, densities, and compositions. Also, we analyze symmetry using space-group detection, examine atomic coordination environments, and apply oxidation-state
Deploying a new machine learning model to production is one of the most critical stages of the ML lifecycle. Even if a model performs well on validation and test datasets, directly replacing the existing production model can be risky. Offline evaluation rarely captures the full complexity of real-world environments—data distributions may shift, user behavior can
In this tutorial, we build an uncertainty-aware large language model system that not only generates answers but also estimates the confidence in those answers. We implement a three-stage reasoning pipeline in which the model first produces an answer along with a self-reported confidence score and a justification. We then introduce a self-evaluation step that allows
Kaiser pushed back on striking workers’ claims and AI fears, saying it delivers ‘timely, high-quality care to meet members’ needs’Ilana Marcucci-Morris is worried about the patients she treats and how long it took for them to arrive in her office. At Kaiser Permanente’s psychiatry outpatient clinic in Oakland, California, she says she increasingly finds herself
