AI Tools & Frameworks Directory

arXiv:2512.24008v1 Announce Type: new Abstract: Personalized search demands the ability to model users' evolving, multi-dimensional information needs; a challenge for systems constrained by static profiles or monolithic retrieval pipelines. We present SPARK (Search Personalization via Agent-Driven ...

arXiv:2512.24040v1 Announce Type: new Abstract: Automatic Prompt Optimization (APO) has emerged as a critical technique for enhancing Large Language Model (LLM) performance, yet current state-of-the-art methods typically rely on large, labeled gold-standard development sets to compute fitness score...

arXiv:2512.23749v1 Announce Type: new Abstract: Human-level concept learning argues that humans typically learn new concepts from a single example, whereas machine learning algorithms typically require hundreds of samples to learn a single concept. Our brain subconsciously identifies important feat...

arXiv:2512.23752v1 Announce Type: new Abstract: Recent work has shown that small transformers trained in controlled "wind-tunnel'' settings can implement exact Bayesian inference, and that their training dynamics produce a geometric substrate -- low-dimensional value manifolds and progressively ort...

This article is divided into five parts; they are: • An Example of Tensor Parallelism • Setting Up Tensor Parallelism • Preparing Model for Tensor Parallelism • Train a Model with Tensor Parallelism • Combining Tensor Parallelism with FSDP Tensor parallelism originated from the Megatron-LM paper.

Cloudflare has open sourced tokio-quiche, an asynchronous QUIC and HTTP/3 Rust library that wraps its battle tested quiche implementation with the Tokio runtime. The library has been refined inside production systems such as Apple iCloud Private Relay, next generation Oxy based proxies and WARP’s MA...

From simple chat to multi-agent reasoning and real-time REST APIs The post Production-Ready LLMs Made Simple with the NeMo Agent Toolkit appeared first on Towards Data Science.

The third installment in a short series of articles from various AI models and how they view the upcoming year in 2026. A 2026 New Year’s message inspiring AI, ML, robotics, and automation innovators to build boldly and shape the future responsibly. This edition is from ChatGPT.

Want to level up your data science toolkit? Here are some Python libraries that'll make your work easier.

I remember from my student days the plethora of subscriptions, fees, and payments to be made for a range of tasks. Be it learning a new skill, using the right environment for practice, or simply travelling to and from home, we had to shell money out of our pockets. But it is almost 2026 now, […] The...

This article is divided into five parts; they are: • Introduction to Fully Sharded Data Parallel • Preparing Model for FSDP Training • Training Loop with FSDP • Fine-Tuning FSDP Behavior • Checkpointing FSDP Models Sharding is a term originally used in database management systems, where it refers to...

Cloudhands, Inc. (the “Company” or “Cloudhands”) today announced preparations for the upcoming launch of Cloudhands’ unified Al platform, along with the appointment of Tom Hebert as President and David Novick as Chief Marketing Officer. Cloudhands’ unified Al platform is the result of extensive deve...

This is the second in a short series of articles from various AI models and how they view the upcoming year in 2026. A forward looking 2026 New Year’s message for AI, machine learning, robotics, and automation enthusiasts, celebrating bold innovation, responsible tech, and the builders shaping the f...

Enterprises have been experimenting with AI tools for a few years. Investors predict they will start to pick winners in 2026.

AUC measures how well a model ranks positives above negatives, independent of any chosen threshold. The post The Machine Learning “Advent Calendar” Bonus 1: AUC in Excel appeared first on Towards Data Science.

Make extra money between classes with beginner-friendly freelance platforms that fit your lifestyle.

Foundation models as the backbone of next-gen AI platforms, reshaping enterprise AI architecture, governance, and scale. One signal breaks through the AI noise in 2026: most enterprise AI budgets are no longer allocated to applications. They are spent on platforms. The current industry forecasts hav...

Towards understanding if your agentic solution is actually better The post Agents Under the Curve (AUC) appeared first on Towards Data Science.

As a developer, tell me if you relate to this – Docker commands are easy to understand but difficult to apply meaningfully. Out of the countless tutorials that I followed, most stopped at syntax, leaving me unsure about what to build next. (Here is an exception – A step-by-step Docker tutorial for c...

If you've built chatbots or worked with language models, you're already familiar with how AI systems handle memory within a single conversation.

We’re in the midst of a global mental-­health crisis. More than a billion people worldwide suffer from a mental-health condition, according to the World Health Organization. The prevalence of anxiety and depression is growing in many demographics, particularly young people, and suicide is claiming h...

Pendo’s Agent Analytics is Now GA, Helping Companies See and Optimise How Users Interact With Agents  Pendo, the world’s first software experience management platform, announced the general availability of Agent Analytics, expanding access to the only solution in the market for measuring the perform...

Meta says it'll keep Manus running independently while weaving its agents into Facebook, Instagram, and WhatsApp, where Meta's own chatbot, Meta AI, is already available to users.

arXiv:2512.22128v1 Announce Type: new Abstract: Graph Neural Networks (GNNs) have emerged as a dominant paradigm for learning on graph-structured data, thanks to their ability to jointly exploit node features and relational information encoded in the graph topology. This joint modeling, however, al...