Lensmor is an AI-native Event Intelligence and GTM Signal platform that empowers B2B enterprises to transform global exhibition attendees into high-intent sales opportunities through real-time data analysis.
featured
Reddit
X (Twitter)
Facebook
YouTube
Google
Quora
Instagram
Hacker News
ImageBind
Milvus
Reddit ImageBindi like reddit very much
Based on our record, Reddit seems to be a lot more popular than ImageBind. While we know about 3301 links to Reddit, we've tracked only 4 mentions of ImageBind. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
From urllib.parse import urlparse Def normalize_gh(r): return { "title": r["name"], "url": r["url"], "source": "github", "score": r["stars_this_period"], "desc": r.get("description", ""), "date": r["trending_date"], "lang": r.get("language"), } Def normalize_hn(p): return { "title": p["title"].replace("Show HN: ", ""), "url":... - Source: dev.to / 3 months ago
@tool Def search_reddit(keywords: str, max_results: int = 20) -> list[dict]: """Fallback: search Reddit directly via PRAW.""" reddit = praw.Reddit( client_id=os.environ["REDDIT_CLIENT_ID"], client_secret=os.environ["REDDIT_CLIENT_SECRET"], user_agent="doug-agent/1.0", ) candidates = [] for submission in reddit.subreddit("all").search(keywords, sort="new",... - Source: dev.to / 3 months ago
Import requests Import time Def fetch_subreddit_posts(subreddit, sort="hot", limit=25): url = f"https://www.reddit.com/r/{subreddit}/{sort}.json" params = { "limit": limit, "raw_json": 1, # Prevents HTML encoding in responses } headers = { "User-Agent": "PythonScraper/1.0 (research project)" } response = requests.get(url, params=params, headers=headers) if... - Source: dev.to / 4 months ago
From sessionkeeper import SessionKeeper Async with SessionKeeper("reddit") as sk: page = await sk.get_authenticated_page("https://reddit.com") # You're logged in. Do your automation. await page.goto("https://reddit.com/r/blender/submit"). - Source: dev.to / 4 months ago
It's completely free, and takes just moments to set up - you just need to create an account, and set up keywords for the service to track. When your keywords are mentioned on Reddit, Hackernews, or Lobste.rs, you'll get a tidy little email in your inbox. - Source: dev.to / over 1 year ago
With multimodal models such as TwelveLabs, Gemini Embedding, or ImageBind, you no longer need to decompose video into constituent parts. These models process video, audio, and context natively. They generate unified embeddings that capture complete content semantics in one operation. - Source: dev.to / 7 months ago
Another multi modal embedding is ImageBind from Meta, which supports text, images, and audio. - Source: dev.to / 12 months ago
In the approach described above, the main difference between the candidate models is their input/output modality. When can we expect to unify these models into one? The next-generation โAI power-upโ for LLM Agents is a single multimodal model capable of following instructions across any input/output types. Combined with web search and REPL integrations, this would make for a rather โadvanced AIโ, and research in... Source: about 3 years ago
Google and OpenAI are increasingly restrictive on the research they share, but Meta is taking a different approach. This week: Meta released ImageBind, an AI model capable of โlearningโ from six different modalities, including depth, thermal, and inertia. Source: about 3 years ago
X (Twitter) - Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
YouTube - Our mission is to give everyone a voice and show them the world.
Google - Google Search, also referred to as Google Web Search or simply Google, is a web search engine developed by Google. It is the most used search engine on the World Wide Web
Quora - Quora is a place to gain and share knowledge. It's a platform to ask questions and connect with people who contribute unique insights and quality answers.