Sam Witteveen — Channel Summaries — Page 2
AI-powered summaries of 183 videos about Sam Witteveen.
183 summaries
Qwen QwQ 32B - The Best Local Reasoning Model?
QwQ 32B is being positioned as a top-tier “local reasoning” model that can run on personal hardware, and the core claim is that it delivers...
Ollama - Libraries, Vision and Updates
Ollama’s latest updates push local AI further into “build-and-automate” territory: new Python/JavaScript libraries, expanded vision model support,...
MPT-7B - The First Commercially Usable Fully Trained LLaMA Style Model
Mosaic’s MPT-7B is being positioned as the first fully trained, commercially usable, open LLaMA-style model that’s ready for real deployment—not just...
Anthropic Does The Unthinkable with Haiku 3.5
Claude 3.5 Haiku arrives with a major price jump—$1 per million tokens in and $5 per million tokens out—turning what used to be a budget-friendly...
Multi-Agent AI EXPLAINED: How Magentic-One Works
Multi-agent systems are shifting toward “generalist” agents that can handle many tasks without hand-coding every step—and Microsoft’s Magentic-One is...
Gemini Pro + LangChain - Chains, Mini RAG, PAL + Multimodal
Gemini Pro becomes a practical building block inside LangChain, enabling everything from simple prompt-to-response chains to mini RAG, PAL...
Advanced RAG 06 - RAG Fusion
RAG Fusion aims to narrow the gap between what users type and what they actually mean by turning one user query into several targeted search queries,...
NVIDIA NemoCLAW!! - GTC 2026
NVIDIA’s biggest GTC 2026 announcement isn’t new space hardware or flashy modules—it’s a push to bring OpenClaw-style “agent” software into...
Building a Summarization System with LangChain and GPT-3 - Part 1
Summarization quality no longer has to rely on training bespoke models for every writing style. With modern instruction-tuned and RLHF-tuned large...
Qwen 3.5 - The next NEXT model
Qwen 3.5 lands as a major shift in how fast, capable AI can be—pairing a large mixture-of-experts model with a reported up to 19x decoding speed...
Mistral Large with Function Calling - Review and Code
Mistral Large positions itself as a strong alternative to top closed models by pairing solid reasoning performance with native function calling—while...
Gemma 2 - Local RAG with Ollama and LangChain
Running a fully local RAG pipeline with Gemma 2 is practical—and the fastest path starts with a clean indexing step, local embeddings, and a...
Mistral 3: Europe's Answer to DeepSeek or Too Little, Too Late?
Mistral has returned with a major open-model push—four new releases led by Mistral Large 3, plus smaller “Ministral 3” models that include both base...
Moshi The Talking AI
Moshi is a duplex, open-domain “talking AI” system built to hold real-time conversations without the usual stop-and-go pattern of speech-to-text...
NanoNets OCR-s
A newly released “OCR Small” model from Nanets—built on the open-weight Quen 2.5VL base—turns a roughly 3B parameter vision-language model into a...
Clone ANY Voice for Free — Qwen Just Changed Everything
Open-source voice cloning and “voice design” have moved from closed, API-only systems into the open TTS ecosystem: Qwen has released its Quen 3 TTS...
Information Extraction with LangChain & Kor
Turning messy text into structured data is the bottleneck for many NLP workflows—especially when there’s no labeled dataset to train a named-entity...
Advanced RAG 05 - HyDE - Hypothetical Document Embeddings
HyDE (Hypothetical Document Embeddings) improves retrieval in RAG by using a large language model to draft a “hypothetical answer,” embedding that...
Meta's Code World Model
Meta’s researchers at FAIR released “Code World Model” (CWM), a 32B open-weights model aimed at code generation that goes beyond copying syntax. The...
Qwen3 Multimodal Embeddings: Finally, RAG That Sees
Qwen 3 VL’s multimodal embedding models aim to make RAG retrieval “see” beyond text by mapping text, images, and video-like content into a shared...
Advanced RAG 04 - Contextual Compressors & Filters
RAG systems often fail not because retrieval misses everything, but because they bring back too much irrelevant text—or the right facts buried inside...
Qwen 3 Embeddings & Rerankers
A new open suite of text embedding and reranking models from Qwen is aimed squarely at retrieval-augmented generation (RAG) use cases—especially...
SmolDocling - The SmolOCR Solution?
SmolDocling—an IBM-partnered document understanding model on Hugging Face—aims to do more than “plain OCR” by converting documents into a structured,...
GeminiCLI - The Deep Dive with MCPs
Gemini CLI’s built-in tools and MCP integrations can turn “rough” app scaffolding into a working, deployable project—especially when developers lean...
LangChain Reaches 1.0 - Whats new?
LangChain’s leap to “1.0” and “LangGraph 1.0,” paired with a $125 million Series B at a $1.25 billion valuation, signals a shift from experimental...
Mistral Agents API - The NEW Agent System
Mistral has launched an “agents API” designed to let developers build agentic systems that run against Mistral models through a cloud-based...
Tagging and Extraction - Classification using OpenAI Functions
OpenAI “functions” can be used in LangChain not to trigger external code, but to force large language models to return structured JSON...
Anthropic's Latest Winner - Workbench
Anthropic has overhauled its developer “Workbench” inside the Anthropic console, turning prompt building into a full testing and benchmarking...
Google's RAG Experiment - NotebookLM
NotebookLM is Google’s early, product-shaped experiment in retrieval-augmented generation (RAG): upload your own documents, ask questions, and get...
Bard can now code and put that code in Colab for you.
Google’s Bard has gained a practical new capability: it can generate Python code and export that code directly into Google Colab, turning prompts...
Google's Agent Upgrade
Google’s latest “Opal” upgrade shifts agent building from fixed, step-by-step workflows toward goal-driven, interactive experiences—complete with...
vLLM - Turbo Charge your LLM Inference
Local and cloud deployments of large language models often feel unusably slow, even on strong hardware, because inference bottlenecks pile up around...
Gemini 2.0 - How to use the Live Bidirectional API
Gemini 2.0’s Live Bidirectional API is built for real-time, two-way multimodal interaction—letting users talk back and forth with voice, stream...
The 4 Stacks of LLM Apps & Agents
Building useful LLM apps and agents comes down to assembling four distinct “stacks” in the right places: the model itself, the data/search/memory...
Falcon Soars to the Top - The NEW 40B LLM Rises above the rest.
Falcon has arrived as a new, from-scratch large language model family—anchored by a 40B parameter model—and it’s already topping Hugging Face’s Open...
How to make Muilt-Agent Apps with smolagents
Multi-agent apps built with smolagents work best when the system leans on tool-calling and strong hosted models—small local “code agents” tend to...
Gemini 2.0 - Video Analyzer with Code
Gemini’s “Video Analyzer” turns uploaded videos into structured, time-coded outputs—captions, spoken transcripts, visual scene descriptions, key...
Agent Skills: Code Beats Markdown (Here's Why)
Agent Skills—an open standard for “agent skills” used by models and coding harnesses—are gaining momentum because they let systems do tasks with code...
AgentHQ by Github
GitHub’s Universe pitch centers on a shift from “AI that helps write code” to “AI that runs software work under governance.” The centerpiece is Agent...
OpenAI's New OPEN Models - GPT-OSS 120B & 20B
OpenAI has released two open-weights language models under an Apache 2.0 license: a 120B-parameter model and a 20B-parameter model. The headline...
How to OPTIMIZE your prompts for better Reasoning!
Prompt quality in large language model (LLM) work depends heavily on context and input design—not just the question. Microsoft’s new “prompt Wizard”...
StarCoder - The LLM to make you a coding star?
StarCoder is positioned as a serious open-source coding model family—built for long-context code generation and fine-tuned into chat-style...
RetrievalQA with LLaMA 2 70b & Chroma DB
Retrieval-augmented QA with LLaMA-2 70B works cleanly when answers are grounded in a local Chroma vector database built from a set of research PDFs....
LLaMA2 for Multilingual Fine Tuning?
Multilingual fine-tuning with LLaMA 2 hinges less on the model weights and more on whether its tokenizer breaks your target language into efficient...
FunctionGemma - Function Calling at the Edge
Function Gemma brings customizable function calling to a compact Gemma model designed for edge deployment—so apps and games can run locally on phones...
Building a Vision App with Ollama Structured Outputs
Structured outputs in Ollama make it practical to turn both text and images into validated, schema-shaped data—locally—using Python classes...
How to use BGE Embeddings for LangChain and RAG
BGE embeddings from the Beijing Academy of AI have surged to the top of major embedding benchmarks while dramatically shrinking model size—making...
CrewAI - Building a Custom Crew
A custom CrewAI workflow can reliably turn a user-chosen topic into a researched, saved markdown article—but the “process shape” matters. In a...
Generative Agents - Deep Dive and GPT-4 Recreation
Generative agents for “interactive simulacra” are built around a practical loop: each character continuously turns observations into memories,...
Cohere's Command-R a Strong New Model for RAG
Cohere’s Command-R arrives as a purpose-built model for retrieval-augmented generation (RAG) and tool/function calling, not as a bid to replace top...
Gemini 2.5 Pro for YouTube Analysis
Gemini 2.5 Pro can analyze YouTube videos directly—either by uploading a video file or, more conveniently, by passing a public YouTube URL into...
The 4 Big Changes in LLMs
LLMs are improving on multiple fronts at once—smarter reasoning, faster token generation, cheaper inference, and ever-larger context—and product...
NEW LangChain Expression Language!!
LangChain’s new Expression Language is a more declarative way to build LLM “chains,” making the flow of data through prompts, models, tools, and...
Comparing LLMs with LangChain
Choosing a “good for production” large language model isn’t about picking the biggest name—it’s about matching model behavior to the task. A...
How to use Custom Prompts for RetrievalQA on LLaMA-2 7B
RetrievalQA with LLaMA-2 can produce “correct-but-then-junk” outputs—answers that start right and then trail off into unhelpful or incorrect text....
Mistral 7B - The New 7B LLaMA Killer?
Mistral AI’s newly released Mistral 7B is being positioned as a “7B LLaMA killer” because it delivers stronger benchmark performance than larger...
Gradio 5 - Building a Quick Chabot UI for LangChain
Gradio 5 makes it straightforward to build a shareable, streaming chat UI on top of LangChain—so people can try an LLM-powered chatbot in a browser...
LLaMA2 Tokenizer and Prompt Tricks
LLaMA 2’s behavior hinges less on “magic prompting” and more on two concrete levers: the tokenizer’s limited vocabulary size and, especially, the...
Camel + LangChain for Synthetic Data & Market Research
Camel—an “autonomous GPT” approach built around two agents talking to each other—gets positioned as a practical engine for synthetic data and market...
NEW - Anthropic Updated Claude Models & Computer Use Agents!!
Anthropic’s latest release pairs two upgraded Claude models with a new “computer use” capability that lets Claude interact with a user’s computer...
HOW to Make Conversational Form with LangChain | LangChain TUTORIAL
Conversational forms don’t have to feel like web-page data entry. By extracting structured fields from free-form chat and then asking only what’s...
Investigating Alpaca 7B - Finetuned LLaMa LLM
Alpaca 7B is a newly released instruction-tuned 7-billion-parameter model built by Stanford that aims to match the quality of OpenAI’s...
Microsoft's Phi 3.5 - The latest SLMs
Microsoft has expanded its Phi 3 lineup with three new Phi 3.5 models—two instruction-tuned language models and an updated vision model—pushing...
MiroThinker 1.5 - The 30B That Outperforms 1T Models
MirrorThinker 1.5 is positioned as a practical shift in agent design: instead of relying on a single, information-heavy model, it’s built to...
Raven - RWKV-7B RNN's LLM Strikes Back
RWKV is a rare attempt to bring RNNs back into the large-language-model conversation by fixing the two biggest pain points that pushed transformers...
SmolLMv3 - A Small Reasoner with Tool Use.
Hugging Face has released SmolLMv3, a 3B-parameter language model aimed at “small” local deployment without giving up reasoning and tool use. The...
KittenTTS - The Nano TTS
Kitten ML’s “KittenTTS” pushes text-to-speech into a new size category: multiple TTS models that fit under 25 MB, are optimized for CPU-only use, and...
Haiku 4.5 - Small Beats Big
Claude Haiku 4.5 is arriving with higher prices, but it’s also delivering a rare mix of speed and task performance that makes it a strong candidate...
OpenAI DevDay 2025 - What Hit What Missed
OpenAI’s DevDay 2025 keynote centered on four practical product moves: apps inside ChatGPT, a new Agent Kit for building agentic systems, Codex...
Caught Distilling from Claude?
A fresh wave of allegations claims Chinese AI labs are running large-scale “distillation attacks” to copy capabilities from Claude—using fleets of...
Beating Cowork with Open Source Cowork
Anthropic’s release of “co-work” triggered a high-stakes scramble in the AI startup world—but one company, Camel AI, responded with a pivot that...
The "Token Muncher" Problem: Is Sonnet 4.6 Actually Cheaper?
Claude Sonnet 4.6 is positioned as a cheaper, more capable step up from earlier Sonnet models—especially for knowledge work and “computer use”...
EmbeddingGemma - Micro Embeddings for Mobile Devices
EmbeddingGemma is a family of tiny, text-only embedding models designed to run on-device, enabling retrieval, semantic search, clustering, and “micro...
The Qwen Avalanche
Alibaba’s AppSara keynote kicked off a wave of new model releases from Qwen, but the most consequential thread running through the announcements is a...
Open Responses - The NEW Standard API for Open Models
OpenAI’s push for an “open responses” standard aims to make today’s agent-style features—tool calling, streaming, multimodal inputs, and structured...
Qwen3 Next - Behind the Curtain
Qwen 3 Next is an 80B Mixture of Experts (MoE) model built to run with only 3B active parameters per inference—an efficiency leap that still lands it...
OpenAI's Agent Builder
OpenAI’s Agent Builder turns agent design into a node-and-guardrail workflow: prompts, classification, conditional routing, and tool use are...
Junie The Anti-Vibe Coding IDE
AI coding tools often fail hardest when a developer already has a real repository to maintain—because they tend to “go wild,” generate large diffs,...
Is Meta killing FAIR?
Meta’s AI job cuts are hitting FAIR, Meta’s long-running open research lab tied to Facebook AI Research and associated with Yan LeCun’s leadership....
Building Single-User vs Multi-User Agents: What Actually Changes
The biggest shift in building agent systems isn’t “one agent vs many agents.” It’s “one user’s private world vs a shared, multi-tenant world,” and...
Tiny Aya - Cohere's Mini Multilingual Models
Choosing a language model for non-English languages is often a guessing game—especially for low-resource languages with limited internet data and...
Sora 2 - OpenAI's TikTok
OpenAI’s Sora 2 is arriving not just as a better video-generation model, but as the foundation for a TikTok-style social network—complete with an iOS...
The Future of AI Coding with Aja Hammerly
AI coding is moving from flashy “one-shot” demos toward an iterative, pair-programming style workflow—where tools like Firebase Studio treat the...