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The new changes would have given Meta the right to use public content on Instagram and Facebook to train its AI models. Public content that could be collected included comments, status updates, interactions with companies, photos, and photo captions.
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Ive been experimenting with different tools, which i can then use with local large language models (LLLM) for generating useful output. I made a script in python that connects to my local ollama server using the API. import ollama from ollama import Client import sys import subprocess client = Client(host='http://127.0.0.1:11434') query = sys.argv[1] def analyse(query): print( " Processing Command " ) response = client.chat(model='mistral', messages=[{ 'role': 'user', 'content': '''...
The DarkBERT model has been developed utilizing this category of training data and, with regards to its abilities, it has been deemed to be "equivalent or marginally superior" to other Large Language Models (LLM) that share the same architecture type (BERT and RoBERTa). These findings have been reported by the team in a preliminary research report on arXiv.org.
Through the KSane backend, it can access a wide variety of different scanner models.</p> pt: >- <p>Skanlite é uma aplicação pequena e simples de scanner para o KDE 4 que permite digitalização fácil de imagens com um scanner ligado.
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hckrnws Back Adding guardrails to large language models ( github.com ) 62 7 2y by swyx Star Animats 2y Well, sort of. This is mostly for using a large language model to generate JSON or XML or SQL, something for which there's a syntax checker.
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Skip to main content เกี่ยวกับ Language English አማርኛ العربية Español Français Русский Türkçe Tiếng Việt Português Mandarin Burmese پښتو ภาษาไทย اردو More Translations Index Keywords ค้นหา × เกี่ยวกับ Language English አማርኛ العربية Español Français Русский Türkçe Tiếng Việt Português Mandarin Burmese پښتو ภาษาไทย اردو More Translations Index Keywords ค้นหา ssd.iykpqm7jiradoeezzkhj7c4b33g4hbgfwelht2evxxeicbpjy44c7ead.onion ≡ Surveillance Self-Defense < สถานการณ์ต่าง ๆ ในการรักษาความปลอดภัย Abortion Access...
Log In Register Vendor Area Vendor Application Vendor Login Info Market PGP keys Market Links Canary Rules Features Bug Bounty Jabber Server Help Market Announcements Cart 0 unread messages Shopping Cart Info Cart is empty Close 0 XMR 1 XMR = USD 223 1 XMR = EUR 211.85 1 XMR = GBP 176.17 1 XMR = AUD 343.42 1 XMR = CAD 312.2 guest Log In Register Guest Settings Guest Settings Listing Default USD EUR GBP AUD CAD Default Currency 10 20 30 40 50 Items per page Close Save Show Categories Categories Drugs 9617...
nickgnd.com/posts/2025/02/10… #AI #LLMs But wait, there’s more! Hacking LLMs thinking time Can we make Large Language Models (LLMs) think longer and better? A recent paper explores “test-time scaling” - a fascinating technique that allows us to control an LLM’s reasoning process by... nickgnd.com 2 2 1 10 antirez bsky social @antirez Feb 9 New blog post: "Reasoning models are just LLMs". antirez.com/news/146 4 4 1 17 antirez bsky social @antirez Feb 8 Here is a new case of...
  ≡ EFF Campaigns Register Login iykpqm7jiradoeezzkhj7c4b33g4hbgfwelht2evxxeicbpjy44c7ead.onion Tell HP — Say No to DRM HP recently activated a secret feature in its Officejet Pro printers (and possibly other models) that causes the printers to refuse to print with third-party or recycled ink cartridges. Please join us in demanding that HP say no to DRM.
Redshift Observatory System Table Tracker System table pg_catalog.stcs_load_options version 1.0.38698 / 2022-05-27 schema name column data type PK U NN pg_catalog stcs_load_options authentication int4 NN pg_catalog stcs_load_options __cluster_type char(4) NN pg_catalog stcs_load_options compression_type int4 NN pg_catalog stcs_load_options comprows int4 NN pg_catalog stcs_load_options compupdate int4 NN...
\foreach \source in {1,...,4} \foreach \dest in {1,...,5} \path (I- \source ) edge (H- \dest ); % Connect every node in the hidden layer with the output layer \foreach \source in {1,...,5} \path (H- \source ) edge (O); % Annotate the layers \node [annot,above of=H-1, node distance=1cm] (hl) {Hidden layer}; \node [annot,left of=hl] {Input layer}; \node [annot,right of=hl] {Output layer}; \end { tikzpicture } % End of code \end { document } NN-SVG...
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); return ; } eval { # fill auth info (may prompt user or read netrc) my $mics = $net -> imap_common_init ( $lei ); my $nn = $net -> nntp_common_init ( $lei ); # broadcast successful auth info to lei-daemon: $net ->{- auth_done } = 1 ; $lei ->{ pkt_op_p }-> pkt_do ( 'net_merge_continue' , $net ) or die "pkt_do net_merge_continue: $!"
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