Building a Human Handoff Interface for AI-Powered Insurance Agent Using Parlant and Streamlit

[ad_1] Human handoff is a key component of customer service automation—it ensures that when AI reaches its limits, a skilled human can seamlessly take over. In this tutorial, we’ll implement a human handoff system for an AI-powered insurance agent using Parlant. You’ll learn how to create a Streamlit-based interface that allows a human operator (Tier…

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OpenAI might be building its own chip, but it’ll still be dependent on Nvidia — custom chip developed with Broadcom reportedly slips to Q3 2026

[ad_1] OpenAI’s long-rumored $10 billion partnership with Broadcom is already showing cracks. The company is widely understood to be developing a custom chip designed specifically for OpenAI’s inference workloads, but according to individuals familiar with the matter, the project has “hit snags”: OpenAI wanted more power, sooner, than Broadcom could deliver, and an internal push…

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Building a Hybrid Rule-Based and Machine Learning Framework to Detect and Defend Against Jailbreak Prompts in LLM Systems

[ad_1] In this tutorial, we introduce a Jailbreak Defense that we built step-by-step to detect and safely handle policy-evasion prompts. We generate realistic attack and benign examples, craft rule-based signals, and combine those with TF-IDF features into a compact, interpretable classifier so we can catch evasive prompts without blocking legitimate requests. We demonstrate evaluation metrics,…

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Building AI agents is 5% AI and 100% software engineering

[ad_1] Production-grade agents live or die on data plumbing, controls, and observability—not on model choice. The doc-to-chat pipeline below maps the concrete layers and why they matter. What is a “doc-to-chat” pipeline? A doc-to-chat pipeline ingests enterprise documents, standardizes them, enforces governance, indexes embeddings alongside relational features, and serves retrieval + generation behind authenticated APIs…

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Building a Speech Enhancement and Automatic Speech Recognition (ASR) Pipeline in Python Using SpeechBrain

[ad_1] In this tutorial, we walk through an advanced yet practical workflow using SpeechBrain. We start by generating our own clean speech samples with gTTS, deliberately adding noise to simulate real-world scenarios, and then applying SpeechBrain’s MetricGAN+ model to enhance the audio. Once the audio is denoised, we run automatic speech recognition with a language…

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Building Advanced MCP (Model Context Protocol) Agents with Multi-Agent Coordination, Context Awareness, and Gemini Integration

[ad_1] class MCPAgent: “””Advanced MCP Agent with evolved capabilities – Jupyter Compatible””” def __init__(self, agent_id: str, role: AgentRole, api_key: str = None): self.agent_id = agent_id self.role = role self.api_key = api_key self.memory = [] self.context = AgentContext( agent_id=agent_id, role=role, capabilities=self._init_capabilities(), memory=[], tools=self._init_tools() ) self.model = None if GEMINI_AVAILABLE and api_key: try: genai.configure(api_key=api_key) self.model = genai.GenerativeModel(‘gemini-pro’)…

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‘Only Murders in the Building’ Season 5 review: Who cares about murders when the vibes are this immaculate?

[ad_1] After five seasons of Only Murders in the Building, I’ve realized I don’t care much about the show’s murder mysteries anymore. Yes, I gasp at every end-of-episode twist and give suspicious new characters the side-eye, but I’m not watching Only Murders for its murders. I’m watching it for the building. SEE ALSO: ‘Only Murders…

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