to Building an Overengineered Retrieval System. That one was about building the entire system. This one is about doing the evals for it. In the previous article, I went through different parts of a RAG pipeline: chunking the data properly, query optimization, retrieval (semantic, BM25, or hybrid search), re-ranking, expanding chunks to neighbors, building the context, and then generation with …
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Amazon’s Vision of ‘Billions’ of AI Agents Inside Every Company Seems Premature
At its annual AWS Re:Invent conference earlier this month, Amazon unsurprisingly focused on AI, and placed more emphasis on the building and managing of agents. In his keynote, AWS CEO Matt Garman argued that “the true value of AI has not yet been unlocked,” but said we’ll one day live in a world with “billions of agents inside every company …
Read More »Premier League LIVE: Tottenham v Liverpool – score, stats & reaction
🔥 Trending now in : Premier League LIVE: Tottenham v Liverpool – score, stats & reaction Tottenham have won just two of their last 25 Premier League games against Liverpool (D6 L17), picking up home wins in October 2017 (4-1) and September 2023 (2-1). Liverpool won both Premier League meetings with Spurs last season by 6-3 and 5-1 scorelines. Only …
Read More »New York Governor Kathy Hochul signs RAISE Act to regulate AI safety
Governor Kathy Hochul has signed the RAISE Act, positioning New York as the second U.S. state to enact major AI safety legislation. State lawmakers passed RAISE Act in June, but following lobbying from the tech industry, Hochul proposed changes to scale the bill back. The New York Times reports that Hochul ultimately agreed to sign the original bill, while lawmakers …
Read More »‘Friend slop’ made co-op gaming goofier than ever in 2025
When a friend invited me to play a new game called REPO earlier this year, I thought I was wasting my money — not because the game looked bad, but because it looked like Lethal Company. The surprise-hit 2024 co-op survival horror game has players wander through unnerving ruined structures collecting trash while evading monsters. Lethal Company was popular with …
Read More »Strictly Come Dancing fans unearth unrecognisable George Clarke’s first TikTok
🔥 Trending now in : Strictly Come Dancing fans unearth unrecognisable George Clarke’s first TikTok It was posted way back in 2019 Strictly Come Dancing finalist and social media sensation George Clarke has left fans stunned as they discovered his first TikTok video where he appears completely different. The YouTube and TikTok star was announced as a finalist in the …
Read More »The Machine Learning “Advent Calendar” Day 19: Bagging in Excel
For 18 days, we have explored most of the core machine learning models, organized into three major families: distance- and density-based models, tree- or rule-based models, and weight-based models. Up to this point, each article focused on a single model, trained on its own. Ensemble learning changes this perspective completely. It is not a standalone model. Instead, it is a …
Read More »6 نصائح مهمة لحماية نفسك عند استخدام روبوتات الدردشة
تتزايد عمليات الاختراق في دول العالم بأجمعه، وذلك يحتم على الجميع الانتباه لمخاطر مشاركة البيانات الشخصية والحساسة، وذلك مع تزايد استخدام روبوتات الدردشة المدعومة بالذكاء الاصطناعي للحصول على معلومات أو تخطيط للرحلات أو تلقي نصائح يومية. نصائح لتقليل عمليات الاختراق يعرض لكم موقع “نيوز رووم”، نصائح مهمة لحماية نفسك عند استخدام روبوتات الدردشة، وجاءت كالآتي: 1- اعتبر روبوتات الدردشة بيئات …
Read More »flydubai issues travel advice during DXB’s busiest ever month
🔥 Trending now in : flydubai issues travel advice during DXB’s busiest ever month As Dubai International Airport braces for its busiest month on record, one of the city’s largest airlines has issued travel advice to passengers. More than 10 million people are expected to travel through DXB in the final month of 2025, with an average of 294,000 every …
Read More »The Machine Learning “Advent Calendar” Day 18: Neural Network Classifier in Excel
Neural Network Regressor, we now move to the classifier version. From a mathematical point of view, the two models are very similar. In fact, they differ mainly by the interpretation of the output and the choice of the loss function. However, this classifier version is where intuition usually becomes much stronger. In practice, neural networks are used far more often …
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