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Antbase
antbase.ai > models > llama2-tifa-question-generation

Llama2 Tifa Question Generation — AI Model

10+ hour, 45+ min ago  (94+ words) Llama2 Tifa Question Generation is a efficient model from Featherless with a 4K context window. Available through ANT's unified API. Limited routing data available for Llama2 Tifa Question Generation. Intelligence insights will appear as more requests are routed through ANT. Ask an AI…...

Symbols: llms,rag
TranslateAPI
translateapi.ai > translate > hawaiian-to-chichewa

TranslateAPI - Professional Translation API

4+ hour, 33+ min ago  (132+ words) HAW NY Masiku ano zotsatira API yopezeka Pangani akaunti yaulere kuti musinthe mafayilo, ma subtitle, ndi zina zambiri. Pitani kapena kuika wanu Hawaiian malemba mu kulowa bokosi pamwambapa. Mukhoza kulowa mpaka 10,000 zilembo, kapena kukopera fayilo ya deta. Dinani batani la…...

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UN News
news.un.org > en > story > 2026 > 07 > 1167920

From NASA to the classroom: The engineer bringing AI to those left behind

13+ min ago  (759+ words) Nia Jetter spent two decades building spacecraft and robots. Now she is trying to make sure the artificial intelligence revolution doesn't leave anyone behind. Growing up in New Jersey, Ms. Jetter saved the quarters her grandfather gave her – not for…...

Symbols: mlops
Google News
antbase.ai > models > featherless > Neelectric > Llama-3.1-8B-Instruct_SFT_sciencefisher_v00.02

Llama 3.1 8B Instruct SFT Sciencefisher V00.02 — Capabilities, Pricing & Performance | Antbase | Antbase

9+ hour, 15+ min ago  (103+ words) Llama 3.1 8B Instruct SFT Sciencefisher V00.02 is a efficient model from Featherless with a 33K context window, supporting function calling. Available through ANT's unified API. Limited routing data available for Llama 3.1 8B Instruct SFT Sciencefisher V00.02. Intelligence insights will appear as more requests are routed…...

Symbols: mcp,ir
Reflexio Docs
reflexio.ai > docs > build > agent-playbook

Collecting & Using Agent Playbooks

11+ hour, 29+ min ago  (210+ words) End-to-end workflows for collecting user playbooks from interactions, aggregating them into actionable agent playbooks, and using them to improve agent behavior. For method-level details, see the Playbook API Reference. Reflexio's playbook system operates in two layers: This two-layer approach ensures…...

Symbols: mcp
JieKou.AI
en.jiekou.ai > models > model-detail > gpt-5.6-luna

gpt-5.6-luna API

7+ hour, 22+ min ago  (76+ words) Interface AI is a leading multi-model aggregation API service platform that supports one-stop access to both open-source and proprietary large language models. It helps developers and businesses quickly integrate applications such as intelligent customer service, content generation, and recommendation systems,…...

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DEV Community
dev.to > joachim8675309 > architecting-kubernetes-deployments-with-python-4jhe

Architecting Kubernetes Deployments with Python

1+ hour, 7+ min ago  (1162+ words) Python is an excellent language for automating cloud infrastructure, but the official Kubernetes Python client leaves developers with an important architectural decision: Where should Kubernetes manifests live? Should they be constructed directly with Python objects? Embedded as multiline strings? Or…...

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DEV Community
dev.to > yuripeixinho > sql-keyword-tipos-de-dados-operators-2a1c

SQL Keyword, Tipos de Dados & Operators

37+ min ago  (223+ words) Keywords são as palavras reservadas da linguagem, termos com significado especial que o banco de dados reconhece e interpreta. Elas formam a espinha dorsal de qualquer instrução SQL. Por convenção, keywords são escritas em maiúsculas, embora o SQL seja case-insensitive....

Symbols: ctes
DEV Community
dev.to > dband-drm > -why-we-built-drm-stopping-production-incidents-caused-by-manual-database-deployments-by-alexey-1bnc

# Why We Built DRM: Stopping Production Incidents Caused by Manual Database Deployments *By Alexey Levin & Eli Shohat, co-founders of D-Band* ---

27+ min ago  (708+ words) By Alexey Levin & Eli Shohat, co-founders of D-Band Between the two of us, we have spent over 25 years as DBAs. We have worked across industries — finance, healthcare, logistics — and across database platforms: MSSQL, Oracle, PostgreSQL. And in all that time,…...

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DEV Community
dev.to > joop-t > dev-log-01-optimizing-worker-memory-footprints-using-honojs-171g

Dev Log 01: Optimizing Worker Memory Footprints Using Hono.js

57+ min ago  (384+ words) How we structured our off-chain task validation engines to maintain sub-10ms response times without hitting edge memory limits. When designing the asynchronous reward and micro-task validation engines for our platform, traditional monolithic server setups introduced unnecessary overhead and latency. We…...

Symbols: node.js
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