Tabnine AI coding assistant flexes its models
Tabnine, the “OG” AI-powered coding assistant, offers several powerful features that improve code generation and code generation, including context-aware suggestions, a chat window with a strong array of selectable AI models, and personalization of its models. The Tabnine Protected model supports about 15 popular programming languages at the “excellent” or “good” level, and another 65 […]
Read MoreTauri 2.0 moves core functionality to plugins
Announced August 1, the Tauri 2.0 release candidate has followed more than a year and a half of beta versions and more than a year of alpha releases. The project said the long alpha and beta states happened in part because Tauri 2.0 was overpromised as having “mobile as a first-class citizen.” The project’s developers […]
Read MoreMicrosoft Teams offers more for developers
Using Teams to develop and document code Teams is also a tool for developers, providing a place to collaborate around code. Up till now, one key feature was missing. Despite Markdown-based formatting, there was no way to use Teams as a place to share code. That gap has now been filled, and it’s possible to […]
Read More11 reasons the new JavaScript isn’t like the old JavaScript
With JavaScript’s 30th anniversary on the horizon, now seems like a good time to take stock of how much the language has changed. Here are 11 ways the JavaScript we use today is completely different from the language its inventors and early adopters could have imagined. 11 ways JavaScript is not what it used to […]
Read MoreSmall language models and open source are transforming AI
SLMs also sharpen customization. These models can be finely tuned for specific tasks and industry domains, yielding specialized applications that produce measurable business outcomes. Whether in customer support, financial analysis, or healthcare diagnostics, these leaner models prove their effectiveness. The open source advantage The open source community has been a driving force behind the advancement […]
Read MoreWhat is Google Cloud’s generative AI evaluation service?
As part of Clarify, AWS offers enterprises a feature, dubbed FMEval, which is an open-source LLM evaluation library to help data scientists and ML engineers evaluate LLMs before deciding to use it for a specific use case. “FMEval provides the ability to perform evaluations for both LLM model endpoints or the endpoint for a generative […]
Read MoreWhite House opts to not add regulatory restrictions on AI development – for now
The Biden Administration on Tuesday issued an AI report in which it said it would not be “immediately restricting the wide availability of open model weights [numerical parameters that help determine a model’s response to inputs] in the largest AI systems,” but it stressed that it might change that position at an unspecified point. The […]
Read MoreGoogle Cloud Spanner adds graph processing, graph RAG
Olofson explained that this is why Spanner might not “really be in a position to challenge” specialty graph databases, such as Neo4j, OrientDB, TigerGraph, and Aerospike Graph, supporting pure graph deployments in terms of performance. Multi-model databases vs specialty databases Google’s move to add graph processing capabilities to Spanner is consistent with the trend of […]
Read MoreWho should own cloud costs?
Why does giving engineering control over cloud costs make such a difference? For one, engineers are typically closer to the actual usage and deployment of cloud resources. When they build something to run on the cloud, they are more aware of how applications and data storage systems use cloud resources. Engineers can quickly identify and […]
Read MoreFull-stack development with Java, React, and Spring Boot, Part 2
// src/main/java/com/example/iwreactspring/service/TodoService.java package com.example.iwreactspring.service; import java.util.List; import java.util.ArrayList; import com.example.iwreactspring.model.TodoItem; import org.springframework.stereotype.Service; import org.springframework.beans.factory.annotation.Autowired; import com.mongodb.client.MongoClient; import com.mongodb.client.MongoClients; import com.mongodb.client.MongoCollection; import com.mongodb.client.MongoDatabase; import org.bson.codecs.configuration.CodecRegistry; import org.bson.codecs.pojo.PojoCodecProvider; import org.bson.Document; import com.example.iwreactspring.repository.TodoRepository; @Service public class TodoService { @Autowired private TodoRepository todoRepository; public List<TodoItem> getTodos() { return todoRepository.findAll(); } public TodoItem createTodo(TodoItem newTodo) { TodoItem savedTodo = todoRepository.save(newTodo); […]
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