Sixteen independent AI agents. Two weeks of continuous killing. About 100,000 lines of Rust code. That’s what it took for Anthropic to build a C compiler capable of compiling large real-world projects like the Linux kernel. There is a kicker here though. The project, internally referred to as Claude’s “agent teams”, was not written by … Read more
Running Large Language Models (LLMs) at scale is a major engineering challenge due to the management of the Key-Value (KV) repository. As models grow in size and processing power, KV’s cache footprint grows and becomes a major bottleneck in throughput and performance. In modern Transformers, this cache can take many gigabytes. NVIDIA researchers presented KVTC … Read more
Google Research proposes a new way to create accessible software with Natively Adaptive Interfaces (NAI), an agent framework where a multimodal AI agent becomes the main user interaction and adapts the application in real time to the skills and capabilities of each user. Instead of deploying a focused UI and adding accessibility as a separate … Read more
section(“6) pack unpack”) B, Cemb = 2, 128 class_token = torch.randn(B, 1, Cemb, device=device) image_tokens = torch.randn(B, 196, Cemb, device=device) text_tokens = torch.randn(B, 32, Cemb, device=device) show_shape(“class_token”, class_token) show_shape(“image_tokens”, image_tokens) show_shape(“text_tokens”, text_tokens) packed, ps = pack([class_token, image_tokens, text_tokens], “b * c”) show_shape(“packed”, packed) print(“packed_shapes (ps):”, ps) mixer = nn.Sequential( nn.LayerNorm(Cemb), nn.Linear(Cemb, 4 * Cemb), nn.GELU(), … Read more
Another month, another AI-powered trend taking over the internet, and this one is about making a caricature of yourself using ChatGPT Image. From LinkedIn feeds to group chats, people are sharing versions of themselves that capture not just their face, but their work, personality, and vibe. The best part is that you don’t need any … Read more
Alibaba Tongyi Lab’s research team has released ‘Zvec’, an open-source, in-process vector database that targets on-device performance and discovery. It is classified as a ‘data vector SQLite’ because it works as a library within your application and does not require any external service or daemon. It is designed for advanced retrieval generation (RAG), semantic search, … Read more
Whether the purpose is casual conversation, structured role-playing, or adult-oriented exchanges, Romantic AI Girlfriend Chat gives users control over how conversations develop while remaining accurate and accessible everywhere. ⚡️ FAVORITE CONVERSATIONS ⚡️ Candy AI Try Candy AI Unfiltered Chat with AI GirlsPictures and voice messagesVideo Generation My dream friend Try Mydreamcompanion Spicy AI ChattingText and … Read more
Text auto-completion and chat questions are no longer the only roles of AI agents. They now refactor repositories, create scripts, update code bases, and use unsupervised workflows, creating new challenges in connecting multiple agents without losing context, control, or code quality. Maestro, the latest AI Agents orchestration platform, addresses this need as an application that … Read more
Here’s how it plays: you register, choose (or create) a character, give him a name, and start talking. You can flirt, make a joke, talk about your boss, or do all the NSFW situations if that’s your thing. Conversations are dynamic. AI remembers your vibe, your previous conversations, your preferences, your kinks even. It’s like … Read more
!pip -q install -U “protobuf<5” “flwr[simulation]” transformers peft accelerate datasets sentencepiece import torch if torch.cuda.is_available(): !pip -q install -U bitsandbytes import os os.environ[“RAY_DISABLE_USAGE_STATS”] = “1” os.environ[“TOKENIZERS_PARALLELISM”] = “false” import math import random import numpy as np from typing import Dict, List, Tuple, Optional from torch.utils.data import DataLoader from datasets import Dataset import flwr as fl … Read more