Published on: 2025-06-11 04:18:48
This book is designed to help C++ programmers learn Rust. It provides translations of common C++ patterns into idiomatic Rust. Each pattern is described through concrete code examples along with high-level discussion of engineering trade-offs. The book can be read front-to-back, but it is designed to be used random-access. When you are writing Rust code and think, "I know how to do this in C++ but not Rust," then look for the corresponding chapter in this book. This book was hand-written by ex
Keywords: book code embedded learn rust
Find related items on AmazonPublished on: 2025-06-16 16:11:22
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More With demand for enterprise retrieval augmented generation (RAG) on the rise, the opportunity is ripe for model providers to offer their take on embedding models. French AI company Mistral threw its hat into the ring with Codestral Embed, its first embedding model, which it said outperforms existing embedding models on benchmarks like SWE-Bench. The model specializes i
Keywords: code codestral embed mistral model
Find related items on AmazonPublished on: 2025-06-21 11:39:12
Hello HN, Embedo is a word-equation puzzle game where you guess the solution to expressions like A + B − C. After each guess you see how close your word embedding is to the correct answer, which helps you converge quickly. Today's puzzle: pasta + noodle − lasagna = ? I built this for fun. Enjoy! https://plan9.kr/embedo/
Keywords: converge embedo guess puzzle word
Find related items on AmazonPublished on: 2025-06-30 07:49:36
Thank you to arXiv, bioRxiv and medRxiv for their open access interoperability. Built by ttumiel with OpenAI's Embeddings.
Keywords: access arxiv biorxiv built embeddings
Find related items on AmazonPublished on: 2025-07-04 07:01:35
This crate provides a lightweight Rust implementation for loading and inference of Model2Vec static embedding models. For distillation and training, the Python Model2Vec package can be used. Quick Start Add the crate: cargo add model2vec-rs Make embeddings: use anyhow :: Result ; use model2vec_rs :: model :: StaticModel ; fn main ( ) -> Result < ( ) > { // Load a model from the Hugging Face Hub or a local path // args = (repo_or_path, token, normalize, subfolder) let model = StaticModel ::
Keywords: base embeddings model potion rust
Find related items on AmazonPublished on: 2025-07-13 17:05:44
Machine learning (ML) has the potential to advance the state of the art in technical writing. No, I’m not talking about text generation models like Claude, Gemini, LLaMa, GPT, etc. The ML technology that might end up having the biggest impact on technical writing is embeddings. Building intuition about embeddings§ Here’s an overview of how you use embeddings and how they work. It’s geared towards technical writers who are learning about embeddings for the first time. Input and output§ Someone
Keywords: embedding embeddings input model text
Find related items on AmazonPublished on: 2025-07-14 08:05:44
Machine learning (ML) has the potential to advance the state of the art in technical writing. No, I’m not talking about text generation models like Claude, Gemini, LLaMa, GPT, etc. The ML technology that might end up having the biggest impact on technical writing is embeddings. Building intuition about embeddings§ Here’s an overview of how you use embeddings and how they work. It’s geared towards technical writers who are learning about embeddings for the first time. Input and output§ Someone
Keywords: embedding embeddings input model text
Find related items on AmazonPublished on: 2025-07-14 18:05:44
Machine learning (ML) has the potential to advance the state of the art in technical writing. No, I’m not talking about text generation models like Claude, Gemini, LLaMa, GPT, etc. The ML technology that might end up having the biggest impact on technical writing is embeddings. Building intuition about embeddings§ Here’s an overview of how you use embeddings and how they work. It’s geared towards technical writers who are learning about embeddings for the first time. Input and output§ Someone
Keywords: embedding embeddings input model text
Find related items on AmazonPublished on: 2025-07-12 21:06:02
Writing an LLM from scratch, part 13 -- the 'why' of attention, or: attention heads are dumb Now that I've finished chapter 3 of Sebastian Raschka's book "Build a Large Language Model (from Scratch)" -- having worked my way through multi-head attention in the last post -- I thought it would be worth pausing to take stock before moving on to Chapter 4. There are two things I want to cover, the "why" of self-attention, and some thoughts on context lengths. This post is on the "why" -- that is, w
Keywords: attention embedding head input space
Find related items on AmazonPublished on: 2025-07-21 10:42:48
ContextGem provides built-in converter to easily transform DOCX files into LLM-ready ContextGem document objects. 📑 Extracts information that other open-source tools often do not capture: misaligned tables, comments, footnotes, textboxes, headers/footers, and embedded images # You can also use it as a standalone text extractor Extracts embedded images and converts them to Image objects for further processing with vision models (can be excluded using include_images=False ) Extracts footnotes
Keywords: embedded excluded extracts false images
Find related items on AmazonPublished on: 2025-08-12 01:02:31
Large language models (LLMs) have enabled AI tools that help you write more code faster, but as we ask these tools to take on more and more complex tasks, there are limitations that become apparent. Challenges such as understanding the nuances of programming languages, complex dependencies, and adapting to codebase-specific context can lead to lower-quality code and cause bottlenecks down the line. Qodo, a member of the NVIDIA Inception program, is a multi-agent code integrity platform that enh
Keywords: code embedding model qodo specific
Find related items on AmazonPublished on: 2025-08-14 09:08:25
Swedish Fintech startup Froda has secured a $22.7 million (€20m) Series B round led by Incore Invest, also based in Sweden. The move bucks the trend of a slight slowdown in investments into fintech, plus a further confirmation of the long-term trend towards the ’embedded finance’ model. Largely operating in northern European countries from Finland down to the UK, Froda offers debt financing for small businesses (SMEs) and is embedded in verticals such as marketplaces or payment platforms. The i
Keywords: embedded financing froda sme smes
Find related items on AmazonPublished on: 2025-08-27 12:00:00
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Enterprise retrieval augmented generation (RAG) remains integral to the current agentic AI craze. Taking advantage of the continued interest in agents, Cohere released the latest version of its embeddings model with longer context windows and more multimodality. Cohere’s Embed 4 builds on the multimodal updates of Embed 3 and adds more capabilities around unstructured
Keywords: ai cohere data embed embeddings
Find related items on AmazonPublished on: 2025-08-28 20:42:48
Last month, Apple delayed the rollout of its more personal and powerful Siri features. As it looks to right the ship for future Apple Intelligence updates, Bloomberg highlights a shift that Apple is making in how it trains its artificial intelligence models. The report highlights a blog post from Apple’s Machine Learning Research website, explaining how Apple generally uses synthetic data to train its AI models. There are limitations to this strategy, however, including the fact that it’s hard
Keywords: apple emails embeddings synthetic user
Find related items on AmazonPublished on: 2025-10-02 16:40:05
Recommendation systems and search have historically drawn inspiration from language modeling. For example, the adoption of Word2vec to learn item embeddings (for embedding-based retrieval), and using GRUs, Transformer, and BERT to predict the next best item (for ranking). The current paradigm of large language models is no different. Here, we’ll discuss how industrial search and recommendation systems have evolved over the past year or so and cover model architectures, data generation, training
Keywords: arxiv embeddings model models user
Find related items on AmazonPublished on: 2025-10-17 18:49:50
Texas Instruments says it has shrunk the size of the smallest microcontroller unit in its industry with a new MCU the size of a black pepper flake. The MCU packaging is only 1.38 square millimeters in size and is part of the company's Arm Cortex line of embedded designs. TI says the product is aimed at small products including medical wearables, earbuds, stylus pens and electric toothbrushes. The product includes a 12-bit analog-to-digital converter and has 16KB of flash memory and 1KB of SRAM
Keywords: embedded mcu says size ti
Find related items on AmazonPublished on: 2025-10-19 17:41:21
Ethics oversight The study was approved by the NYU Grossman School of Medicine Institutional Review Board (approved protocol s14-02101) which operates under NYU Langone Health Human Research Protections and Princeton University’s Review Board (approval protocol 4962). Studies were performed in accordance with the Department of Health and Human Services policies and regulations at 45 CFR 46. Before obtaining consent, all participants were confirmed to have the cognitive capacity to provide infor
Keywords: embeddings encoding rm speech word
Find related items on AmazonPublished on: 2025-10-22 10:57:00
MagSafe accessories will still stick to your phone if you have a standard thin case, but not nearly as well as if you use one of Apple's MagSafe cases, which have their own set of embedded magnets that line up with the magnets in your phone. Apple's Clear Case with MagSafe is nice because it allows you to show off your phone's colored finish and the embedded markings tell you exactly where to attach the MagSafe charger for optimal charging speeds (you apparently need Apple's 20-watt USB-C charg
Keywords: apple case embedded magsafe phone
Find related items on AmazonPublished on: 2025-10-23 09:00:00
Advanced Micro Devices announced the expansion of its x86 embedded processor portfolio with the introduction of 5th Gen AMD Epyc Embedded processors. AMD Epyc Embedded 9005 Series CPUs are optimized for embedded markets, balancing compute capabilities with purpose-built embedded features that enhance product longevity, system resiliency and ease of embedded application development. Powered by the proven Zen 5 architecture, these processors deliver leadership performance and energy efficiency
Keywords: amd embedded epyc processors storage
Find related items on AmazonPublished on: 2025-10-25 08:40:51
Use Wokwi to simulate embedded Rust projects and test your hardware projects.
Keywords: embedded hardware projects rust simulate
Find related items on AmazonPublished on: 2025-10-26 17:59:31
Google on Friday added a new, experimental “embedding” model for text, Gemini Embedding, to its Gemini developer API. Embedding models translate text inputs like words and phrases into numerical representations, known as embeddings, that capture the semantic meaning of the text. Embeddings are used in a range of applications, such as document retrieval and classification, in part because they can reduce costs while improving latency. Companies including Amazon, Cohere, and OpenAI offer embeddi
Keywords: embedding gemini google model text
Find related items on AmazonPublished on: 2025-10-28 18:23:05
Hello, passionate learners from around the world ✌️ In 2023 ChatGPT from OpenAI reached 100 million users faster than other solutions in Web 2.0 era. Source: Yahoo Finance And since then many intelligent models from Anthropic, Cohere, IBM, Goole, Amazon, Meta AI, DeepSeek, HuggingFace come up and also many startups entering the arena. It’s interesting times to invest in our skillset. Platforms like HuggingFace—the GitHub of AI—serving as open hubs where an entire ecosystem of researchers and
Keywords: attention embedding model models token
Find related items on AmazonPublished on: 2025-11-07 00:24:14
Today, we’re excited to announce Qodo-Embed-1, a new code embedding model family that achieves state-of-the-art performance while maintaining a significantly smaller footprint than existing models. On the CoIR benchmark—which measures the model’s proficiency in retrieving context—our 1.5B model scored 68.53 surpassing larger 7B models. Qodo-Embed-1-7B, Qodo’s larger model, also outperforms models of the same size, scoring 71.5. In this blog, we’ll share our approach to training code embedding mo
Keywords: code embedding model models qodo
Find related items on AmazonPublished on: 2025-11-12 18:00:24
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Qodo, an AI-driven code quality platform formerly known as Codium, has announced the release of Qodo-Embed-1-1.5B, a new open source code embedding model that delivers state-of-the-art performance while being significantly smaller and more efficient than competing solutions. Designed to enhance code search, retrieval, and understanding, the 1.5-billion parameter model
Keywords: ai code embedding model qodo
Find related items on AmazonPublished on: 2025-11-15 16:27:49
Text embeddings, particularly modern embeddings generated from large language models, are one of the most useful applications coming from the generative AI boom. Embeddings are a list of numbers which represent an object: in the case of text embeddings, they can represent words, sentences, and full paragraphs and documents, and they do so with a surprising amount of distinctiveness. Recently, I created text embeddings representing every distinct Magic: the Gathering card released as of the Febr
Keywords: card data embedding embeddings parquet
Find related items on AmazonPublished on: 2025-11-15 16:27:49
Text embeddings, particularly modern embeddings generated from large language models, are one of the most useful applications coming from the generative AI boom. Embeddings are a list of numbers which represent an object: in the case of text embeddings, they can represent words, sentences, and full paragraphs and documents, and they do so with a surprising amount of distinctiveness. Recently, I created text embeddings representing every distinct Magic: the Gathering card released as of the Febr
Keywords: card data embedding embeddings parquet
Find related items on AmazonGo K’awiil is a project by nerdhub.co that curates technology news from a variety of trusted sources. We built this site because, although news aggregation is incredibly useful, many platforms are cluttered with intrusive ads and heavy JavaScript that can make mobile browsing a hassle. By hand-selecting our favorite tech news outlets, we’ve created a cleaner, more mobile-friendly experience.
Your privacy is important to us. Go K’awiil does not use analytics tools such as Facebook Pixel or Google Analytics. The only tracking occurs through affiliate links to amazon.com, which are tagged with our Amazon affiliate code, helping us earn a small commission.
We are not currently offering ad space. However, if you’re interested in advertising with us, please get in touch at [email protected] and we’ll be happy to review your submission.