LlamaIndex ‘legal-kb’: Agentic Retrieval over Index v2 with retrieve, find, read, and grep Tools
import { LlamaCloud } from '@llamaindex/llama-cloud' import { tool, ToolLoopAgent } from 'ai' import { z } from 'zod' import...
import { LlamaCloud } from '@llamaindex/llama-cloud' import { tool, ToolLoopAgent } from 'ai' import { z } from 'zod' import...
This week, Anthropic released Claude Science. It is an app for scientists, available in beta. It runs on Anthropic’s existing...
Traditional robot programming is hard to scale. It requires orchestrating multimodal perception, physical contact dynamics, diverse configurations, and execution failures...
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Today, Mistral AI released Leanstral 1.5. It is a code agent model built for Lean 4. The release targets automated...
WebBrain is a free, open-source browser agent for Chrome and Firefox. It reads pages, extracts data, and automates multi-step tasks....
print("\n Creating a synthetic multimodal report...") monthly_data = pd.DataFrame( { "Month": , "Query Volume": , "Hybrid Accuracy": , "Average Latency...
The Google Health API is the official successor to the Fitbit Web API. It targets the Google Health API v4...
def render_pdf(d, path): """Draw a realistic 3-page report. Page breaks are forced so the headline metric on page 1 (abstract)...
NVIDIA has released Nemotron-Labs-TwoTower, a diffusion language model built on a pretrained autoregressive backbone. It ships as open weights under...
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Linq developers can now build iMessage Apps. These are interactive mini-apps that run inside a iMessages conversation. A user can...
Meta AI just introduced Brain2Qwerty v2. It decodes natural sentences from non-invasive brain recordings in real time. The system reads...
OpenClaw just released native companion apps for iOS and Android. The iOS app is listed as ‘OpenClaw – AI that...
EverMind has released EverOS, an open-source memory runtime for AI agents. It ships under an Apache 2.0 license. It targets...
def _purge(*prefixes): for name in : del sys.modules def _load_ocrmypdf(): _purge("PIL", "ocrmypdf") import ocrmypdf return ocrmypdf try: ocrmypdf = _load_ocrmypdf()...
rprint(Panel.fit("Baseline 1: Predict output_type from context using pure Python Naive Bayes")) model_artifacts = {} classifier_df = df.dropna(subset=).copy() classifier_df = classifier_df.astype(str).str.len()...