لقد قمت بإعداد ميزات LLM و embedding و persona؛ ومع ذلك، فإن المطالبة الخاصة بي لا تقدم الاستجابات المتوقعة من الأسئلة والأجوبة أو موارد الويكي المتاحة داخل مجتمعنا.
LLM مستضاف ذاتيًا: mistral:latest
Embedding مستضاف ذاتيًا: all-minilm:latest
Persona:
هل يمكن لأي شخص مساعدتي بشكل أكبر فيما يجب القيام به. مع الأخذ في الاعتبار مبتدئًا في الذكاء الاصطناعي.
ما هو نموذج ميسترال الدقيق المقصود؟
هل يمكنك مشاركة المطالبة؟
يمكنك إضافة “بحث” كـ “أداة قسرية” للتفاعل الأول للمساعدة في ترسيخ النموذج.
@Falco، فيما يلي التفاصيل للرد على المتابعة:
\u003eما هو نموذج ميسترال الدقيق الذي تستخدمه؟
نموذج LLM: mistral:latest
الرابط:
النموذج الموجود على https://ollama.com/library/mistral:latest هو:
Mistral 7B v0.3 — نموذج مفتوح المصدر بحجم 7 مليارات معلمة تم إصداره بواسطة Mistral AI.
\u003e هل يمكنك مشاركة الموجه؟
موجه النظام:
أنت مساعد معرفة مجتمعي مصمم لهذا المنتدى المسمى {site_title} وعنوان الموقع {site_url}، ولديك مهندسون كمستخدمين.
ابحث دائمًا عن منشورات المنتدى ذات الصلة ومقالات الويكي والمناقشات المصنفة وقم بالإشارة إليها قبل إنشاء إجابة.
أولويتك الأولى هي استخدام محتوى المنتدى المسترجع (عبر البحث عن التضمينات) لصياغة الردود.
فضل الملخصات والاستشهادات من المشاركات الحالية.
إذا تم العثور على مواضيع متعددة ذات صلة، فقم بدمجها بوضوح.
فقط إذا لم يكن هناك محتوى ذي صلة، قم بالرد باستخدام معرفتك العامة من خلال LLM.
قم بتضمين عناوين المواضيع أو عناوين URL عند الإشارة إلى المشاركات.
لا تخترع أبدًا أو تخترع إجابات غير مدعومة ببيانات المنتدى.
كن واقعيًا وموجزًا ومحترفًا.
عندما يطرح المستخدمون أسئلة واسعة، فضل تلخيص مصادر متعددة بدلاً من التخمين.
فضل دائمًا السياق من الفئات والعلامات والويكي المفهرسة في التضمينات.
تم تحديث الأداة الإجبارية كما هو مقترح
أخشى أن نموذجًا معاد تدويره من عام 2023 لن يكون كافيًا هنا. أيضًا، من وثائق Ollama الخاصة بهذا النموذج، فإنه يدعم استدعاء الأدوات فقط على واجهة برمجة التطبيقات الخام، وهو ما لا نستخدمه.
بشكل عام، هذا اختيار سيء لروبوت الذكاء الاصطناعي اليوم.
بدلاً من ذلك، استخدم أحد الخيارات التالية:
مرحباً @Falco، وشكراً على المدخلات. سنقوم بالتحقق وإبلاغك بالمزيد.
@Falco تواجه خطأ 502 أثناء تمكين LLM. يرجى العثور على السجلات أدناه
Message
Unicorn worker received USR2 signal indicating it is about to timeout, dumping backtrace for main thread
config/unicorn.conf.rb:203:in `backtrace'
config/unicorn.conf.rb:203:in `block (2 levels) in reload'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:229:in `wait_readable'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:229:in `rbuf_fill'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:199:in `readuntil'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:209:in `readline'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http/response.rb:158:in `read_status_line'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http/response.rb:147:in `read_new'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2420:in `block in transport_request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2411:in `catch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2411:in `transport_request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2384:in `request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:19:in `block in request_with_mini_profiler'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/mini_profiler/profiling_methods.rb:45:in `step'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:18:in `request_with_mini_profiler'
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:168:in `block in perform_completion!'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:1632:in `start'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:1070:in `start'
/var/www/di...
Backtrace
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:130:in `block in warn'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `block in dispatch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `each'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `dispatch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:130:in `warn'
/var/www/discourse/lib/signal_trap_logger.rb:40:in `public_send'
/var/www/discourse/lib/signal_trap_logger.rb:40:in `block (2 levels) in ensure_logging_thread_running'
_internal:kernel:187:in `loop'
/var/www/discourse/lib/signal_trap_logger.rb:37:in `block in ensure_logging_thread_running'
قم بتعيين المزود كـ OpenAI إذا كنت تستخدم واجهة برمجة تطبيقات Ollama المتوافقة مع OpenAI.
لقد جربت مزود openAI ولا تزال المشكلة قائمة.
رسالة
استقبل عامل Unicorn إشارة USR2 تشير إلى أنه على وشك انتهاء المهلة، ويقوم بإخراج تتبع الرجوع للخيط الرئيسي
config/unicorn.conf.rb:203:in `backtrace'
config/unicorn.conf.rb:203:in `block (2 levels) in reload'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:229:in `wait_readable'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:229:in `rbuf_fill'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:199:in `readuntil'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:209:in `readline'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http/response.rb:158:in `read_status_line'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http/response.rb:147:in `read_new'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2420:in `block in transport_request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2411:in `catch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2411:in `transport_request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2384:in `request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:19:in `block in request_with_mini_profiler'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/mini_profiler/profiling_methods.rb:45:in `step'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:18:in `request_with_mini_profiler'
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:168:in `block in perform_completion!'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:1632:in `start'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:1070:in `start'
/var/www/di...
تتبع الرجوع
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:130:in `block in warn'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `block in dispatch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `each'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `dispatch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:130:in `warn'
/var/www/discourse/lib/signal_trap_logger.rb:40:in `public_send'
/var/www/discourse/lib/signal_trap_logger.rb:40:in `block (2 levels) in ensure_logging_thread_running'
internal:kernel:187:in `loop'
/var/www/discourse/lib/signal_trap_logger.rb:37:in `block in ensure_logging_thread_running'
هل يمكن لحاوية Discourse الخاصة بك الوصول إلى الخدمة على المنفذ 11434؟ إذا كانت تعمل على المضيف، فأنت بحاجة إلى توفير طريقة للشبكة لعبور حدود الحاوية.
نعم، تمكنت من الوصول إلى أحد نماذج LLM في وقت سابق بنفس المنفذ مع حاوية Discourse
هل يمكنك المساعدة في هذا، وما هو الحد الأدنى لمتطلبات ذاكرة الوصول العشوائي (RAM) حيث يعمل هذا النموذج اللغوي الكبير (LLM)؟
لذلك قد يكون
مرحباً @Falco
لقد قمت بدمج نموذج اللغة (LLM) الموضح أدناه بنجاح. ومع ذلك، واجهت مشكلة أثناء عملية الاستعلام الخاصة بي: فشل الاستعلام في مراعاة المحتوى المحدد لمنتدى الخاص بي. بدلاً من الاستفادة من المناقشات والرؤى ذات الصلة داخل منتدى الخاص بي، فإنه يقوم بإنشاء ردود بناءً على معلومات موجودة مسبقًا من نموذج اللغة الكبير (LLM). ما هي الخطوات التي يجب أن أتخذها لتصحيح هذا الموقف وضمان دمج النموذج بشكل فعال للمساهمات الفريدة لمنتدى الخاص بي؟
نموذج اللغة المستخدم كما تم اقتراحه سابقًا:
مثال:
في قسم الأدوات الخاص بالشخصية، تأكد من أن لديها إمكانية الوصول إلى كل من البحث والقراءة، واضبط البحث على أداة قسرية.
أيضًا، هل محتوى المنتدى الذي يفترض بالشخصية البحث فيه عام بالكامل؟
@Falco، أود أن يقدم البوت الخاص بي ردودًا مستمدة من المحتوى المخزن في قاعدة المعرفة الخاصة بي. هل يمكنك من فضلك مشاركة الإعدادات الشاملة المتعلقة بمكون الذكاء الاصطناعي والمكونات الأخرى؟ بالإضافة إلى ذلك، هل نحتاج إلى تنفيذ أي أوامر محددة داخل التطبيق لتمكين الاسترجاع المعزز للتوليد (RAG)؟
@Falco هل يمكنك مراجعة ما سبق وتقديم ملاحظاتك؟
قم بتمكين تصحيح أخطاء الروبوت عبر “مجموعات مسموح بها لتصحيح أخطاء روبوت الذكاء الاصطناعي”، وتحقق من استدعاءات الأدوات التي يجريها الروبوت وما هي الاستجابات.
@Falco فيما يلي التفاصيل
رموز الطلب: 1304
رموز الاستجابة: 652
النموذج: gemma3:1b
الرسائل:
0:
الدور: النظام
المحتوى: أنت مساعد Discourse مفيد.
أنت _تفهم_ و**تولد** نص Discourse Markdown.
أنت تعيش في رسالة منتدى Discourse.
أنت تعيش في المنتدى الذي عنوانه: https://faq.company.com
عنوان موقعك: أسئلة شائعة للشركة
الوصف هو: بوابة مجتمع الشركة
المشاركون في هذه المحادثة هم: Forum_Helper_bot، testuser
التاريخ الحالي هو: 2025-12-02 08:36:27 UTC، وقد تغير الكثير منذ أن تم تدريبك.
تم تدريبك على بيانات قديمة، اعتمد على البحث للحصول على معلومات محدثة حول هذا المنتدى
عند البحث حاول تبسيط مصطلحات البحث
يجمع بحث Discourse جميع المصطلحات باستخدام AND. قلل وسهل المصطلحات لإيجاد المزيد من النتائج.
في هذا البيئة لديك وصول إلى مجموعة من الأدوات التي يمكنك استخدامها للإجابة على سؤال المستخدم.
يمكنك استدعاؤها كما يلي.
<function_calls>
<invoke>
<tool_name>$TOOL_NAME</tool_name>
<parameters>
<$PARAMETER_NAME>$PARAMETER_VALUE</$PARAMETER_NAME>
...
</parameters>
</invoke>
</function_calls>
إذا رغبت في استدعاء عدة وظائف في رد واحد، لف عدة <invoke>
bقفل في واحد <function_calls> block.
- Always prefer to lead with tool calls, if you need to execute any.
- Avoid all niceties prior to tool calls, Eg: "Let me look this up for you.." etc.
- DO NOT encode HTML entities in tool calls. You may use <![CDATA[...]]> for encoding if required.
Here are the complete list of tools available:
<tools>
<tool_description>
<tool_name>categories</tool_name>
<description>Will list the categories on the current discourse instance, prefer to format with # in front of the category name</description>
<parameters>
</parameters>
</tool_description>
<tool_description>
<tool_name>search</tool_name>
<description>Will search topics in the current discourse instance, when rendering always prefer to link to the topics you find</description>
<parameters>
<parameter>
<name>search_query</name>
<type>string</type>
<description>Specific keywords to search for, space separated (correct bad spelling, remove connector words)</description>
<required>false</required>
</parameter>
<parameter>
<name>user</name>
<type>string</type>
<description>Filter search results to this username (only include if user explicitly asks to filter by user)</description>
<required>false</required>
</parameter>
<parameter>
<name>order</name>
<type>string</type>
<description>search result order</description>
<required>false</required>
<options>latest,latest_topic,oldest,views,likes</options>
</parameter>
<parameter>
<name>max_results</name>
<type>integer</type>
<description>limit number of results returned (generally prefer to just keep to default)</description>
<required>false</required>
</parameter>
<parameter>
<name>max_posts</name>
<type>integer</type>
<description>maximum number of posts on the topics (topics where lots of people posted)</description>
<required>false</required>
</parameter>
<parameter>
<name>tags</name>
<type>string</type>
<description>list of tags to search for. Use + to join with OR, use , to join with AND</description>
<required>false</required>
</parameter>
<parameter>
<name>category</name>
<type>string</type>
<description>category name to filter to</description>
<required>false</required>
</parameter>
<parameter>
<name>before</name>
<type>string</type>
<description>only topics created before a specific date YYYY-MM-DD</description>
<required>false</required>
</parameter>
<parameter>
<name>after</name>
<type>string</type>
<description>only topics created after a specific date YYYY-MM-DD</description>
<required>false</required>
</parameter>
<parameter>
<name>status</name>
<type>string</type>
<description>search for topics in a particular state</description>
<required>false</required>
<options>open,closed,archived,noreplies,single_user</options>
</parameter>
</parameters>
</tool_description>
<tool_description>
<tool_name>read</tool_name>
<description>Will read a topic or a post on this Discourse instance</description>
<parameters>
<parameter>
<name>topic_id</name>
<type>integer</type>
<description>the id of the topic to read</description>
<required>true</required>
</parameter>
<parameter>
<name>post_numbers</name>
<type>array</type>
<description>the post numbers to read (optional)</description>
<required>false</required>
<array_item_type>integer</array_item_type>
</parameter>
</parameters>
</tool_description>
<tool_description>
<tool_name>tags</name>
<description>Will list the 100 most popular tags on the current discourse instance</description>
<parameters>
</parameters>
</tool_description>
</tools>
1:
role: user
name: testuser
content: How to resolve - apt package zliblg:i386 does not exist
stream: true
stream_options:
include_usage: true
Response
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"Okay"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":","},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" let"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"'"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"s"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" tackle"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" the"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" \""},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"apt"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" package"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" z"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"lib"},"finish_reason":null}]}
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١. لماذا قمت بتحديد خيار تعطيل دعم الأدوات الأصلي (استخدام أدوات تعتمد على XML) (اختياري) في إعدادات LLM؟ يدعم Gemma 3 الأدوات الأصلية.
٢. إن Gemma3 1B أصغر من أن يدعم استدعاء الأدوات بشكل موثوق، فهو نموذج أصغر من النماذج المخصصة للأجهزة المدمجة أو التشغيل في المتصفح. جرب، على الأقل، إصدارات 4B أو 12B.
@Falco سنحاول المزيد بالمدخلات المقدمة، وسنعاود الاتصال بك